Pull request #4700 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 frozenbugs for dmlc/dgl Obtained Jenkinsfile from 336457aa17d989f9fd06794837057d047220fbee+ea48ce7a3742c5d4ee7c37279be741db6b45bf50 (24336eb27e0a0e8edbf9559950174316514264ab) [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4700 [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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-list --no-walk 09765a4dff00300e2644e7f05085ce7e5a86b681 # timeout=10 > 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-4700 [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 > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-lint cat $ docker top f93e0b882d42f9e077f315ac851cd7a1d8311c37b6ea1ba2cefcf21219b5cb60 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 f93e0b882d42f9e077f315ac851cd7a1d8311c37b6ea1ba2cefcf21219b5cb60 $ docker rm -f f93e0b882d42f9e077f315ac851cd7a1d8311c37b6ea1ba2cefcf21219b5cb60 [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-4700 [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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" 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-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-lint cat $ docker top cf6c8234b0976d8ca6aba4c16855af02bfdadd30bf9e263de9da6bbcf67ca854 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 cf6c8234b0976d8ca6aba4c16855af02bfdadd30bf9e263de9da6bbcf67ca854 $ docker rm -f cf6c8234b0976d8ca6aba4c16855af02bfdadd30bf9e263de9da6bbcf67ca854 [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-4700 [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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-lint cat $ docker top e27a196baafa33a64672e968f613b0eb6209a74f4828274de381ffe0e4d1b36a -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 e27a196baafa33a64672e968f613b0eb6209a74f4828274de381ffe0e4d1b36a $ docker rm -f e27a196baafa33a64672e968f613b0eb6209a74f4828274de381ffe0e4d1b36a [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-4700 [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-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 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/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 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-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-lint cat $ docker top 07db8db793d1b7511161c05f5e81eb341d3152dcf82bfbf6a5284aaf4b3385ae -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@12e6aa2e; 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 Commit message: "Merge branch 'master' into part17_" Cleaning workspace [Pipeline] sh + git submodule update --recursive --init > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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-4700/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/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-4700/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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 ====== 19425 statements analysed. Statistics by type ------------------ +---------+-------+-----------+-----------+------------+---------+ |type |number |old number |difference |%documented |%badname | +=========+=======+===========+===========+============+=========+ |module |236 |NC |NC |100.00 |0.00 | +---------+-------+-----------+-----------+------------+---------+ |class |344 |NC |NC |99.71 |1.16 | +---------+-------+-----------+-----------+------------+---------+ |method |1528 |NC |NC |99.61 |0.33 | +---------+-------+-----------+-----------+------------+---------+ |function |694 |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._ctypes.function) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.function) | \-base (dgl._ffi._ctypes.function) | \-function (dgl.transforms.functional) | \-libinfo (dgl._ffi.base) | \-ndarray (dgl.distributed.shared_mem_utils) | \-object (dgl.distributed.rpc) | \-object_generic (dgl._ffi._ctypes.function) | \-runtime_ctypes (dgl._ffi._ctypes.function) | \-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.rpc_client) | \-dist_context (dgl.distributed.dist_tensor) | \-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) | \-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) | \-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 |25808 |36.31 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |37996 |53.46 |NC |NC | +----------+-------+------+---------+-----------+ |comment |1996 |2.81 |NC |NC | +----------+-------+------+---------+-----------+ |empty |5276 |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 07db8db793d1b7511161c05f5e81eb341d3152dcf82bfbf6a5284aaf4b3385ae $ docker rm -f 07db8db793d1b7511161c05f5e81eb341d3152dcf82bfbf6a5284aaf4b3385ae [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 [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4700 Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@2[Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@3 [Pipeline] { [Pipeline] { [Pipeline] { [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 [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 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 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-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +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/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +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/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Cleaning workspace Fetching without tags Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Commit message: "Merge branch 'master' into part17_" Cleaning workspace Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) [Pipeline] withEnv [Pipeline] { + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 + docker pull dgllib/dgl-ci-gpu:cu101_v220816 Commit message: "Merge branch 'master' into part17_" Cleaning workspace 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] } > 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 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] withEnv [Pipeline] { [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace 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] } + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 . [Pipeline] // withEnv Fetching without tags [Pipeline] } [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 $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4700@3 -v /root/jenkins/workspace/dgl_PR-4700@3:/root/jenkins/workspace/dgl_PR-4700@3:rw,z -v /root/jenkins/workspace/dgl_PR-4700@3@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 cat Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace $ docker top 9854f2e8fe060a129c22ebaa513654cd60d94bcc56f7ce89878bfb5ca43c901d -eo pid,comm > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4700\.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] { [Pipeline] } [Pipeline] isUnix [Pipeline] withEnv [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 -u root -w /root/jenkins/workspace/dgl_PR-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top fbb25c2d168afa6ffe320c7f5921eb417b3771ca945f44bc915b5a43019b2019 -eo pid,comm [Pipeline] { [Pipeline] sh [Pipeline] bat [Pipeline] sh [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700>git submodule update --recursive --init [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 + 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 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-4700@2 -v /root/jenkins/workspace/dgl_PR-4700@2:/root/jenkins/workspace/dgl_PR-4700@2:rw,z -v /root/jenkins/workspace/dgl_PR-4700@2@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-gpu:cu101_v220816 cat 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-4700/third_party/METIS'... $ docker top 632b7774b90e9235c5c8d484dcb1cd8627f9a28ba3591423a7806b6a26a9e647 -eo pid,comm [Pipeline] { [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$1@6b070bed; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) The recommended git tool is: git Fetching changes from the remote Git repository using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@b09a2d8; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Cleaning workspace Fetching changes from the remote Git repository [Pipeline] sh Cleaning workspace Fetching without tags Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@71872b03; 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 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace Commit message: "Merge branch 'master' into part17_" Cleaning workspace Fetching without tags > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee [Pipeline] sh Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) + git submodule update --recursive --init Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 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-4700@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-4700/third_party/METIS'... [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/dlpack'... + git submodule update --recursive --init Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... 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-4700@2/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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-4700/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-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/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-4700/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/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 '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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-4700@2/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/xbyak'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] bat 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-4700/third_party/METIS/GKlib'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700>CALL tests\scripts\build_dgl.bat ********************************************************************** ** Visual Studio 2019 Developer Command Prompt v16.5.5 ** Copyright (c) 2019 Microsoft Corporation ********************************************************************** [vcvarsall.bat] Environment initialized for: 'x64' 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' created virtual environment CPython3.6.7.final.0-64 in 319ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4700-2, 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-4700\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4700\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@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-4700@3/third_party/METIS/GKlib'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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-4700@2/third_party/METIS/GKlib'... 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-4700/third_party/tensorpipe/third_party/googletest'... 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' -- The C compiler identification is MSVC 19.25.28614.0 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' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info 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-4700@3/third_party/tensorpipe/third_party/googletest'... -- 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 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-4700@2/third_party/tensorpipe/third_party/googletest'... -- 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 Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/libuv'... -- Found OpenMP_C: -openmp (found version "2.0") Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... -- Found OpenMP_CXX: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - not found -- Looking for fopen64 Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/pybind11'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/pybind11'... -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' -- 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' 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/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... -- Looking for nanosleep - not found -- Looking for backtrace Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' 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-4700@3/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/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-4700@2/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-4700/third_party/thrust/dependencies/cub'... 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-4700@3/third_party/thrust/dependencies/cub'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' -- Looking for sys/types.h - found -- Looking for stdint.h 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-4700@2/third_party/thrust/dependencies/cub'... -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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-4700/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short 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-4700@3/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... 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-4700@2/third_party/tvm/3rdparty/dlpack'... -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4700/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4700-2/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. Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/dmlc-core'... -- Looking for pthread.h Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/dmlc-core'... -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4700/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... Build started 10/11/2022 9:21:33 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4700\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". Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/rang'... 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4700\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4700\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.0F9E30A8.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.0F9E30A8.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4700-2) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/vta-hw'... 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700/third_party/googletest/googletest/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4700\build\bin\Release". 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4700\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. 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4700/third_party/googletest/googlemock/CMakeLists.txt 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-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\src\gtest-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj" (16) on node 6 (default targets). 16>PrepareForBuild: Creating directory "dmlc.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4700\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. 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/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' 13>ClCompile: gtest-all.cc 15>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4700/third_party/googletest/googlemock/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-4700\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googlemock\src\gmock_main.cc" 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4700/third_party/dmlc-core/CMakeLists.txt 14>ClCompile: gtest-all.cc gmock-all.cc 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-4700\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googlemock\src\gmock-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-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\local_filesys.cc" 15>ClCompile: gtest-all.cc gmock-all.cc 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 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/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/build_dgl.sh cugraph + bash tests/scripts/build_dgl.sh cpu ~/jenkins/workspace/dgl_PR-4700/build ~/jenkins/workspace/dgl_PR-4700 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' 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] ~/jenkins/workspace/dgl_PR-4700@3/build ~/jenkins/workspace/dgl_PR-4700@3 -- The C compiler identification is GNU 7.5.0 -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 [Pipeline] sh -- 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 -- 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 + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4700@2/build ~/jenkins/workspace/dgl_PR-4700@2 -- 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 -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- 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 -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- 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 -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info -- 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 -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. -- 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 -- 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 -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- 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 -- 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 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- 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 -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. -- 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 -- 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). -- 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 -- 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 sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Found OpenMP_C: -fopenmp (found version "4.5") -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Using unsigned short -- 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 -- 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 if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4700/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 -- 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 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 -- 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_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 -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- 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 -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- 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 -- Looking for pthread.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- 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 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 -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- /root/jenkins/workspace/dgl_PR-4700@3/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- 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 -- Looking for pthread.h - not found -- Found Threads: TRUE -- 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 -- 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 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- 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 -- 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 -- Generating done 12>CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4700/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 10/11/2022 9:21:40 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4700\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". -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Building dist/rpc tests -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4700/build 1>Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\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. 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-4700\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F33C3DE4.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F33C3DE4.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. -- 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 -- 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 Scanning dependencies of target libxsmm Scanning dependencies of target tensoradapter_pytorch 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 [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.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/recordio.cc.o [ 1%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.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/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/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o Scanning dependencies of target tensorpipe_uv Scanning dependencies of target metis [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 4%] Building C object 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C:/Jenkins/workspace/dgl_PR-4700/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-4700\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\tensoradapter\pytorch\torch.cpp" torch.cpp -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- 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 -- 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 -- Looking for stddef.h - found -- Check size of 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-4700@2/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- 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 -- 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 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER 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-4700\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll" /INCREMENTAL:NO /NOLOGO "C:\Program Files\Python36\Lib\site-packages\torch\lib\torch.lib" "C:\Program Files\Python36\Lib\site-packages\torch\lib\torch_cpu.lib" "C:\Program Files\Python36\Lib\site-packages\torch\lib\c10.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-4700/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4700/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib" /MACHINE:X64 /machine:x64 /DLL tensoradapter_pytorch_1.9.0.dir\Release\torch.obj -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 33%] Linking C static library libtensorpipe_uv.a [ 33%] Built target tensorpipe_uv -- 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_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA Creating library C:/Jenkins/workspace/dgl_PR-4700/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib and object C:/Jenkins/workspace/dgl_PR-4700/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.exp Scanning dependencies of target tensorpipe [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 35%] Building CXX object 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third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o -- 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 -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- 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 tensoradapter_pytorch_1.9.0.vcxproj -> C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll FinalizeBuildStatus: Deleting file "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F33C3DE4.tlog\unsuccessfulbuild". Touching "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F33C3DE4.tlog\tensoradapter_pytorch_1.9.0.lastbuildstate". 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default targets). Build succeeded. 0 Warning(s) 0 Error(s) Time Elapsed 00:00:01.68 Release\tensoradapter_pytorch_1.9.0.dll 1 file(s) copied. Building Custom Rule C:/Jenkins/workspace/dgl_PR-4700/CMakeLists.txt -- 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_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 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-4700@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-4700@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-4700@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. FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.0F9E30A8.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.0F9E30A8.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj.metaproj" (default targets). 16>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\Release\dmlc.lib" /NOLOGO /MACHINE:X64 /machine:x64 dmlc.dir\Release\config.obj dmlc.dir\Release\data.obj dmlc.dir\Release\io.obj dmlc.dir\Release\recordio.obj dmlc.dir\Release\line_split.obj dmlc.dir\Release\recordio_split.obj dmlc.dir\Release\indexed_recordio_split.obj dmlc.dir\Release\input_split_base.obj dmlc.dir\Release\filesys.obj dmlc.dir\Release\local_filesys.obj 15>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4700\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 14>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4700\build\lib\Release\gmock_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock_main.dir\Release\gtest-all.obj" "gmock_main.dir\Release\gmock-all.obj" gmock_main.dir\Release\gmock_main.obj 13>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4700\build\lib\Release\gtest.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gtest.dir\Release\gtest-all.obj" 16>Lib: dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\Release\dmlc.lib -- 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 -- 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 -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4700@3/build [ 0%] Creating directories for 'nccl_external' [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 1%] Building CXX object 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InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4700/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.dir\Release\src\graph\transform\cpu". 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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D 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identification is GNU 7.5.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o [ 31%] No configure step for 'nccl_external' [ 31%] Performing build step for 'nccl_external' Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/include/nccl_net.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/lib/pkgconfig/nccl.pc [ 32%] Linking C static library libtensorpipe_uv.a Compiling init.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/init.o 18>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4700\build\lib\Release\gtest_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 gtest_main.dir\Release\gtest_main.obj gtest_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4700\build\lib\Release\gtest_main.lib FinalizeBuildStatus: Deleting 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Touching "gtest_main.dir\Release\gtest_main.tlog\gtest_main.lastbuildstate". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc [ 32%] Built target tensorpipe_uv Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/channel.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 33%] Building CXX object 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Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/net.o -- Detecting CXX compiler ABI info - done [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/transport/shm.o [ 43%] Building CXX object 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Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4700/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/sendrecv.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-4700\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] kernel.cc [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/transport/net_socket.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/transport/net_ib.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/transport/coll_net.o [ 50%] Built target tensoradapter_pytorch Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/broadcast.o 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-4700\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\gather_mm.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-4700\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\array_arith.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-4700\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] uvm_array.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-4700\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 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-4700@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/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/all_reduce.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/paths.o bcast.cc c_api_common.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-4700\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\array_op_impl.cc) geometry_op_impl.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-4700\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] geometry.cc Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/broadcast.o [ 46%] Linking C static library libmetis.a Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/reduce.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/tuning.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-4700\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] ndarray_partition.cc 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-4700\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\segment_reduce.cc) random.cc C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] c_object_api.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-4700\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\array.cc) Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/reduce_scatter.o [ 46%] Built target metis Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/paths.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/graph/xml.o C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] c_runtime_api.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-4700\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] config.cc cpu_device_api.cc Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/rings.o dlpack_convert.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-4700\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] dso_module.cc file_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-4700\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 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-4700\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/tuning.o Generating rules > /root/jenkins/workspace/dgl_PR-4700@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-4700\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\coo_remove.cc(62): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_remove.cc(63): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] module_util.cc ndarray.cc Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/graph/xml.o object.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-4700\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] registry.cc [ 45%] Linking C static library libmetis.a [ 45%] Built target metis Generating rules > /root/jenkins/workspace/dgl_PR-4700@3/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-4700\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) -- 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 ================================================================================ C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] resource_manager.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-4700\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] semaphore_wrapper.cc shared_mem.cc -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). LIBXSMM master-1.16.1-1534 (Linux@fbb25c2d168a) -------------------------------------------------------------------------------- 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 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-4700\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\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-4700\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-4700\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-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\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-4700\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-4700\build\dgl.vcxproj] -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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). system_lib_module.cc tensordispatch.cc -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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). 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-4700\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] thread_pool.cc -- Looking for pthread_create in pthread - found -- Found Threads: TRUE threading_backend.cc -- 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 /usr/bin/ar: creating lib/libxsmmnoblas.a [ 50%] Linking CXX static library ../../../lib/libgtest.a [ 50%] Built target gtest Scanning dependencies of target gtest_main 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(396,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] utils.cc -- 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) Scanning dependencies of target gmock [ 50%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 51%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.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-4700\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] -- 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 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-4700@2/tensoradapter/pytorch/build Scanning dependencies of target tensoradapter_pytorch_1.9.0 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-4700\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] workspace_pool.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-4700\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(284,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(287,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(287,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(287,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(291,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(291,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(291,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(296,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(296,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc(296,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o api_container.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-4700\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 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-4700\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\partition\ndarray_partition.cc) creators.cc C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] gk_ops.cc [ 53%] Linking CXX static library ../../../lib/libgtest_main.a [ 53%] Built target gtest_main Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o graph.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o graph_apis.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o graph_op.cc graph_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-4700@3/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Ty=ValueType, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc(42): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/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). 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-4700\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] heterograph.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_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-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). heterograph_capi.cc immutable_graph.cc metis_partition.cc network.cc 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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(75): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(77): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(76): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(78): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] nodeflow.cc pickle.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_min_f16.o sampler.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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). global_uniform.cc neighbor.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_max_i64.o get_node_types_cpu.cc [100%] Built target tensoradapter_pytorch_1.9.0 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4700@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 45%] Built target tensoradapter_pytorch Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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 functions.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/onerank_reduce.o node2vec.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/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). [ 48%] Linking CXX static library ../../../lib/libgtest.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-4700@3/build/nccl/obj/collectives/device/reduce_premulsum_f32.o [ 48%] Built target gtest node2vec_cpu.cc randomwalk_cpu.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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). [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). [ 49%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). [ 53%] Linking CXX static library libtensorpipe.a [ 53%] Linking CXX static library libdmlc.a [ 53%] Built target tensorpipe [ 53%] Built target dmlc randomwalk_with_restart_cpu.cc randomwalks.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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_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). [ 54%] Linking CXX static library ../../../lib/libgmock_main.a [ 54%] Built target gmock_main dglgraph_serialize.cc graph_serialize.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). heterograph_serialize.cc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o tensor_serialize.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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o [ 49%] Linking CXX static library ../../../lib/libgtest_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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). zerocopy_serializer.cc [ 49%] Built target gtest_main nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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). 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-4700\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@9854f2e8fe06) -------------------------------------------------------------------------------- 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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). shared_mem_manager.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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). subgraph.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.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-4700\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o compact.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_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_min_f32.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). [ 49%] Linking CXX static library libtensorpipe.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). line_graph.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o [ 49%] Built target gmock nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o [ 49%] Built target tensorpipe [ 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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o metis_partition_hetero.cc 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-4700\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] ================================================================================ [ 46%] Linking CXX static library ../../../lib/libgtest.a LIBXSMM master-1.16.1-1534 (Linux@632b7774b90e) -------------------------------------------------------------------------------- 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 [ 46%] Built target gtest Scanning dependencies of target gtest_main [ 46%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Scanning dependencies of target gmock [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/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_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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). 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-4700\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o [ 49%] Linking CXX static library libdmlc.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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). /usr/bin/ar: creating lib/libxsmmnoblas.a [ 49%] Built target dmlc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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-4700\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] to_bipartite.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.o [ 48%] Linking CXX static library ../../../lib/libgtest_main.a [ 48%] Linking CXX static library libtensorpipe.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o [ 48%] Built target gtest_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o to_simple.cc /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@fbb25c2d168a) -------------------------------------------------------------------------------- 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 [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.o [ 48%] Built target tensorpipe Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/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). /usr/bin/ar: creating lib/libxsmmnoblas.a [ 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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] [ 66%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 71%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o [ 49%] Built target gmock_main Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). 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-4700\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\neighbor\neighbor.cc) unit_graph.cc C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] scheduler.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-4700\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] scheduler_apis.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). 17>C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). 17>C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1693): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1842): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o common.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_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-4700@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o msg_queue.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/functions.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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 onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/onerank_reduce.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o socket_communicator.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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o [ 48%] Linking CXX static library libdmlc.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o [ 48%] Built target dmlc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.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-4700\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] [ 48%] Linking CXX static library ../../../lib/libgmock.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o [ 48%] Built target gmock In file included from /root/jenkins/workspace/dgl_PR-4700/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4700/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4700/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-4700/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4700/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ socket_pool.cc tcp_socket.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Scanning dependencies of target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/sendrecv_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-4700\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o 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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_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-4700\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o 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-4700\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o In file included from /root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4700/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4700/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4700/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4700/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ 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-4700\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_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-4700\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o 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-4700\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_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-4700\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_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-4700\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o [ 48%] Linking CXX static library ../../../lib/libgmock_main.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o [ 48%] Built target gmock_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sum_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-4700\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_u64.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-4700\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) 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-4700\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc(74): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_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-4700\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_simple.cc) Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_sum_u64.o C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\scheduler\scheduler_apis.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-4700\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_f16.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_u8.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-4700\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_bipartite.cc(80): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4700\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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_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-4700\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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-4700@3/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/sendrecv_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-4700@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). /usr/bin/ar: creating lib/libxsmmgen.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_min_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_max_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_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-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/sendrecv_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_u64.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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\traversal.cc" traversal.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_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 [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/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-4700@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-4700@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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_u8.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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\union_partition.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-4700@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_i64.o union_partition.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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 reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@2/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). 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-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\cpu\knn.cc" knn.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_min_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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-4700@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_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 [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_max_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). 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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\knn.cc" knn.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). 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-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_premulsum_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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\union_partition.cc" union_partition.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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). 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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4700\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\traversal.cc" traversal.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/all_gather_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-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_sum_f16.o 17>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4700\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-4700/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4700/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 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-4700\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-4700/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4700/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4700/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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_sum_f64.o Creating library C:/Jenkins/workspace/dgl_PR-4700/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4700/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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_sum_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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). dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4700\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4700/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4700/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-4700\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700/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-4700\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4700\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4700\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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). 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-4700\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(400): message : see reference to function template instantiation 'void _TestUnitGraph(DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_min_i32.o 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-4700\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_min_f16.o 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-4700\build\runUnitTests.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _Ty=float, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc(86): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc(99): message : see reference to function template instantiation 'void _TestWithoutReplacementOrder(dgl::RandomEngine *)' being compiled [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_max_i64.o /usr/bin/ar: creating lib/libxsmm.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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). /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_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). LIBXSMM master-1.16.1-1534 (Linux@632b7774b90e) -------------------------------------------------------------------------------- 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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o /usr/bin/ar: creating lib/libxsmmext.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@9854f2e8fe06) -------------------------------------------------------------------------------- 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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4700@3/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@3/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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). 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-4700\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-4700/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4700/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-4700/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4700/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4700\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4700\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-4700/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-4700\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4700\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\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-4700\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-4700\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4700\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4700\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4700\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-4700\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-4700\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4700\build\runUnitTests.vcxproj] 148 Warning(s) 0 Error(s) Time Elapsed 00:01:06.92 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4700\python\build Obtaining file:///C:/Jenkins/workspace/dgl_PR-4700/python Preparing metadata (setup.py): started Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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). 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) Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_max_u32.o 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: 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: 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: idna<3,>=2.5 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2.10) 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) Installing collected packages: psutil, dgl nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_max_f16.o Running setup.py develop for dgl nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_max_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o 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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). Stashed 3 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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). [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_client Scanning dependencies of target rpc_server [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 93%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o Scanning dependencies of target runUnitTests [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.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_csrmm.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.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-4700/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4700/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_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-4700 ~/jenkins/workspace/dgl_PR-4700/python ~/jenkins/workspace/dgl_PR-4700 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4700 [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 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 glib-2.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Aug 16 08:41 gtk-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 gtk-3.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 hwloc drwxr-xr-x 3 root root 4.0K Aug 16 08:41 icu drwxr-xr-x 3 root root 4.0K Aug 16 08:40 krb5 drwxr-xr-x 2 root root 4.0K Aug 16 08:40 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 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Feb 28 2017 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Feb 28 2017 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 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 -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 08:41 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 fbb25c2d168afa6ffe320c7f5921eb417b3771ca945f44bc915b5a43019b2019 $ docker rm -f fbb25c2d168afa6ffe320c7f5921eb417b3771ca945f44bc915b5a43019b2019 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Archiving objects > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4700@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4700@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_array_op_impl.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 51%] 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_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_coo_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.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_csr_sort.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_negative_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.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_sddmm_hetero_coo.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.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_spmat_op_impl_coo.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/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 55%] 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.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/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/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 56%] 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/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 59%] 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_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 /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@3/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4700@3/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4700@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/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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.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). [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.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). [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.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). [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.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). [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.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). [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.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). [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.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). [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.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). [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.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). [ 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_cuda_filter.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). [ 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_gather_mm.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). [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.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). [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.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). [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.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). [ 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_spmat_op_impl_csr.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). [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.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). [ 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 nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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). [ 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/geometry/cuda/dgl_generated_edge_coarsening_impl.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). [ 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_frequency_hashmap.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). [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.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). [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.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). [ 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/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.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). [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.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). /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@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-4700@3/src/array/cuda/spmm.cu(150): 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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm_hetero.cu(202): 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). /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm_hetero.cu(202): here /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/array/cuda/spmm.cu(150): here /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/random.h(28): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(38): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(39): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(40): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(41): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@3/src/array/cuda/./spmm.cuh(42): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4700@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-4700@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_pack.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.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_scatter.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 65%] Building CXX object 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object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 68%] 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_csr.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.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.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 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object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.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/immutable_graph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.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/serialize/zerocopy_serializer.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.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/line_graph.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/union_partition.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 90%] 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/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/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.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/array/cuda/csr_transpose.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 [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o In file included from /root/jenkins/workspace/dgl_PR-4700@2/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4700@2/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4700@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-4700@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4700@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-4700@2/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4700@2/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4700@2/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4700@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4700@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_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 [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.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_sampler.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_spmat_csr.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-4700@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4700@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-4700@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4700@2/tests/cpp/test_partition.cc:86:44: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@2/tests/cpp/test_partition.cc:87:44: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4700@2/tests/cpp/test_partition.cc:195:40: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@2/tests/cpp/test_partition.cc:196:40: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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_server [100%] Built target rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4700@2 ~/jenkins/workspace/dgl_PR-4700@2/python ~/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4700@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 girepository-1.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 glib-2.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:54 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gtk-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gtk-3.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 hwloc drwxr-xr-x 3 root root 4.0K Aug 16 08:53 icu drwxr-xr-x 3 root root 4.0K Aug 16 08:53 krb5 drwxr-xr-x 2 root root 4.0K May 28 19:15 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 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Feb 28 2017 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Feb 28 2017 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 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 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 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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 632b7774b90e9235c5c8d484dcb1cd8627f9a28ba3591423a7806b6a26a9e647 $ docker rm -f 632b7774b90e9235c5c8d484dcb1cd8627f9a28ba3591423a7806b6a26a9e647 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.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/array_arith.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_scatter.cc.o [ 62%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.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_simple.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.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/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.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-4700@3/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4700@3/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4700@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-4700@3/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4700@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-4700@3/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4700@3/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4700@3/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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/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_rowwise.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_smart_ptr_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] 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 [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o /root/jenkins/workspace/dgl_PR-4700@3/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4700@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-4700@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4700@3/tests/cpp/test_partition.cc:86:44: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@3/tests/cpp/test_partition.cc:87:44: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@3/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4700@3/tests/cpp/test_partition.cc:195:40: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@3/tests/cpp/test_partition.cc:196:40: required from here /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@3 ~/jenkins/workspace/dgl_PR-4700@3/python ~/jenkins/workspace/dgl_PR-4700@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-4700@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 9854f2e8fe060a129c22ebaa513654cd60d94bcc56f7ce89878bfb5ca43c901d $ docker rm -f 9854f2e8fe060a129c22ebaa513654cd60d94bcc56f7ce89878bfb5ca43c901d [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-4700 [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4700@2 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700 [Pipeline] node [Pipeline] node Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4700 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@2 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@3 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [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 [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 [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4700@2 # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4700 # 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 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 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-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Cleaning workspace Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Fetching without tags Commit message: "Merge branch 'master' into part17_" Cleaning workspace Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Cleaning workspace Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Fetching without tags Commit message: "Merge branch 'master' into part17_" Cleaning workspace Commit message: "Merge branch 'master' into part17_" Cleaning workspace Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Cleaning workspace Fetching without tags > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 [Pipeline] withEnv [Pipeline] { > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix > 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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] { > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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] withEnv Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) [Pipeline] { [Pipeline] withEnv [Pipeline] { Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) + docker pull dgllib/dgl-ci-cpu:v220816 Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace + docker pull dgllib/dgl-ci-gpu:cu101_v220816 Commit message: "Merge branch 'master' into part17_" Cleaning workspace Commit message: "Merge branch 'master' into part17_" Cleaning workspace [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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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] sh 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] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh 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 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] } + docker pull dgllib/dgl-ci-cpu:v220816 [Pipeline] // withEnv [Pipeline] } [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] // withEnv [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 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] sh Fetching without tags [Pipeline] withEnv [Pipeline] { [Pipeline] } [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 $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4700@2 -v /root/jenkins/workspace/dgl_PR-4700@2:/root/jenkins/workspace/dgl_PR-4700@2:rw,z -v /root/jenkins/workspace/dgl_PR-4700@2@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:v220816 cat + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace 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 > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4700\.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 $ docker top 14b3429aed6e94453c42a5f512b2655fc4107c7bf07fa2bec37ddf294939a33c -eo pid,comm [Pipeline] { [Pipeline] } [Pipeline] } [Pipeline] } [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] bat [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] // withEnv [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 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4700@3 -v /root/jenkins/workspace/dgl_PR-4700@3:/root/jenkins/workspace/dgl_PR-4700@3:rw,z -v /root/jenkins/workspace/dgl_PR-4700@3@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:v220816 cat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700>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-4700/third_party/METIS'... $ docker top 0344b52b6d2091251a90dae7f6ee742682307291cbfb19cef6bb02dab44cb3a3 -eo pid,comm [Pipeline] { [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-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top 1b146134d30616b6d7453262311536a3d5204bf2c76e8201f0187c0038666077 -eo pid,comm [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] stage [Pipeline] { (Torch CPU Unit test) [Pipeline] sh [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 [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [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 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 dgl-manual-large-cpu does not seem to be running inside a container + 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 run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:v220816 cat Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace $ docker top 20e8d6bd4695246ee601698d8a4c26ff256ce7e1bcff29595aa0fe236d83b214 -eo pid,comm > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [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$1@3f6d23ff; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) The recommended git tool is: git Fetching changes from the remote Git repository using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5895461e; decorates RemoteLauncher[hudson.remoting.Channel@341a2613:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Cleaning workspace Fetching changes from the remote Git repository [Pipeline] checkout Cleaning workspace The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@13e8e918; decorates RemoteLauncher[hudson.remoting.Channel@711c95d3:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository [Pipeline] sh Cleaning workspace Fetching without tags [Pipeline] bat Fetching without tags Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@370f9ac7; 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 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700@2>git submodule update --recursive --init Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Fetching without tags Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" 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 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/METIS'... Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace Commit message: "Merge branch 'master' into part17_" Cleaning workspace Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) [Pipeline] sh Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 [Pipeline] sh [Pipeline] sh + 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-4700/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-4700@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-4700@2/third_party/METIS'... [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... + 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' Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/dlpack'... 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-4700/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/libxsmm'... 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’ 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-4700@3/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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-4700/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' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/nanoflann'... 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-4700@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@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-4700@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/nccl'... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/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' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/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 '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/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' 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 'C:/Jenkins/workspace/dgl_PR-4700/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@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-4700/third_party/xbyak'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@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-4700@3/third_party/METIS/GKlib'... 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-4700/third_party/METIS/GKlib'... 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/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' 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-4700@2/third_party/METIS/GKlib'... Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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' Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... 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/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' 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/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' 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/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/third_party/METIS/GKlib'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' 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/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-4700@3/third_party/tensorpipe/third_party/googletest'... 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/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-4700/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] bat 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' administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4700\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 (1 ms) [----------] 1 test from GraphTest (1 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [09:37:02] C:\Jenkins\workspace\dgl_PR-4700\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 (12 ms) [----------] 3 tests from MessageQueueTest (12 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/googletest'... 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-4700/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... 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-4700/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tensorpipe/third_party/pybind11'... 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/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' 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/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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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 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' [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] bat 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-4700/third_party/thrust/dependencies/cub'... 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-4700@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700@2>CALL tests\scripts\task_unit_test.bat pytorch 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/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-4700/third_party/thrust/dependencies/cub'... 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-4700@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... [ OK ] SocketCommunicatorTest.SendAndRecv (6008 ms) [----------] 1 test from SocketCommunicatorTest (6008 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 (1 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 (1 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 (0 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (1 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 (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 (17 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (11 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (5 ms) [ RUN ] RowwiseTest.TestCOOSampling 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-4700@3/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-4700-2\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) 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-4700@2/third_party/thrust/dependencies/cub'... Collecting rdflib Using cached rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) 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: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: iniconfig in c:\program files\python36\lib\site-packages (from pytest) (1.0.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) 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: 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) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) 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) 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 [ OK ] RowwiseTest.TestCOOSampling (1653 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (249 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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-4700/third_party/tvm/3rdparty/dlpack'... ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4700-2\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4700@2 collecting ... 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-4700/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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' Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... 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-4700@2/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700@3/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/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' Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/dmlc-core'... collected 4091 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] 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] sh Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/rang'... + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4700 ~/jenkins/workspace/dgl_PR-4700/build ~/jenkins/workspace/dgl_PR-4700 total 15M -rwxr-xr-x 1 root root 12M Oct 11 09:23 libdgl.so -rwxr-xr-x 1 root root 2.4M Oct 11 09:23 runUnitTests drwxr-xr-x 3 root root 4.0K Oct 11 09:37 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4700/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 [09:37:17] /root/jenkins/workspace/dgl_PR-4700/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 (12 ms) [----------] 3 tests from MessageQueueTest (12 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Cloning into '/root/jenkins/workspace/dgl_PR-4700@3/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@2/third_party/tvm/3rdparty/vta-hw'... [ OK ] RowwiseTest.TestCOOerEtypeSampling (4715 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform 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/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash 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 [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_unit_test.sh pytorch cpu + bash tests/scripts/task_unit_test.sh tensorflow cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) 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 9.0 MB/s eta 0:00:00 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 8.3 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 41.7 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 29.4 MB/s eta 0:00:00 [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2884 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 (9561 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement 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 125.1 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) [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 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 110.9 MB/s eta 0:00:00 Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 52.6 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: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) 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: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) 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: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) 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) 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: 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 7.6 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: 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: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) 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: 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+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: 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) + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4700 ~/jenkins/workspace/dgl_PR-4700/build ~/jenkins/workspace/dgl_PR-4700 total 285M -rwxr-xr-x 1 root root 282M Oct 11 09:29 libdgl.so -rwxr-xr-x 1 root root 2.5M Oct 11 09:30 runUnitTests drwxr-xr-x 3 root root 4.0K Oct 11 09:37 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4700@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 [09:37:20] /root/jenkins/workspace/dgl_PR-4700@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 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) 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: 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: 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) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 61.2 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 16.3 MB/s eta 0:00:00 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: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) 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: 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: 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) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.8/500.8 kB 59.8 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) 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 7.0 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: 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: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/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) 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 Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) ============================= 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-4700@3 collecting ... [ OK ] SampleUtilsTest.TestWithReplacement (2235 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] SocketCommunicatorTest.SendAndRecv (7004 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (2001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (1 ms) [----------] 3 tests from SocketCommunicatorTest (9006 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 (1 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 (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 (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (1 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 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 (0 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (0 ms) [----------] 3 tests from CsrmmTest (1 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 PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] 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/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] 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] [ OK ] SocketCommunicatorTest.SendAndRecv (7001 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout 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] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (6614 ms) [----------] 3 tests from SampleUtilsTest (8849 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 (0 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 (3 ms) [----------] 4 tests from Serialize (4 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 (1 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 (6 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (0 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 (150 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 (175 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 (6 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 (22 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (24676 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.9 MB/s eta 0:00:00 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 Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) 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) 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) 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) 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] Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] 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] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] 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] 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] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12002 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 [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] [ OK ] ArrayTest.TestRange (706 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 (1 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (1 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (1 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (1 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (710 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 (0 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (1 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 (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] [ OK ] CsrmmTest.TestCsrmm (345 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (351 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (18 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (23 ms) [----------] 2 tests from PartitionTest (41 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 PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] [ OK ] RowwiseTest.TestCOOSampling (209 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (33 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage 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] [Pipeline] } PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] 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 PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] [ OK ] RowwiseTest.TestCOOerEtypeSampling (3992 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2607 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (5 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (4 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (6884 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] [ OK ] SampleUtilsTest.TestWithReplacement (3329 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique 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 ] RowwiseTest.TestCSRSampling (21931 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4207 ms) [----------] 3 tests from SampleUtilsTest (7536 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 (18 ms) [----------] 3 tests from RandomTest (19 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 (1 ms) [----------] 4 tests from Serialize (1 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 [ 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 (11 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 (1 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (2 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 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 (84 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 (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (0 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 (12 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (0 ms) [----------] 7 tests from UniGraphTest (13 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 (1 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (0 ms) [----------] 4 tests from ZeroCopySerialize (1 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (27654 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4700 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 1b146134d30616b6d7453262311536a3d5204bf2c76e8201f0187c0038666077 $ docker rm -f 1b146134d30616b6d7453262311536a3d5204bf2c76e8201f0187c0038666077 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4700 [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 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 [ OK ] RowwiseTest.TestCSRSamplingUniform (3366 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (16 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (4 ms) [ RUN ] RowwiseTest.TestCOOSampling 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-4700@2 collecting ... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] Cleaning workspace Fetching without tags Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-gpu:cu101_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] } [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 -w /root/jenkins/workspace/dgl_PR-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-gpu:cu101_v220816 cat 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] $ docker top 5956e8a04d1e912469917ad3ef9103c51ee967d2547d024e18a50294aa1d3b36 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow GPU Unit test) [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@7944027; 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 [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] Fetching without tags Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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_update_all_0deg[idtype0] [Pipeline] sh PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[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-4700/third_party/METIS'... PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... 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%]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] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... 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 [ 5%] tests/compute/test_data.py::test_fakenews 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] 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] 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 [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-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 [ 4%] tests/compute/test_data.py::test_gin PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/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-4700/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/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' PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 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-4700/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/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 [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 PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 0%] 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] 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 10.9 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 40.6 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 115.2 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 65.2 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 19.6 MB/s eta 0:00:00 Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) 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: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) 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: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) 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: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) 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 66.3 MB/s eta 0:00:00 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: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-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 9.6 MB/s eta 0:00:00 Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/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) Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@4 [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-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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-cpu:ssh_v220818 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.2 MB/s eta 0:00:00 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] } PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:ssh_v220818 . [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 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4700@4 -v /root/jenkins/workspace/dgl_PR-4700@4:/root/jenkins/workspace/dgl_PR-4700@4:rw,z -v /root/jenkins/workspace/dgl_PR-4700@4@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:ssh_v220818 cat $ docker top 66436705fbf3eddfab1d91452f484cc8cde9bef1dd558cd5fc2d06aafb7cea09 -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] stage [Pipeline] { (Distributed Torch CPU Unit test) [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@7a791158; 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee 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 Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) 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: 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: 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: 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/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb [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-4700@4/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/dlpack'... PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/dmlc-core'... [ OK ] RowwiseTest.TestCOOSampling (57113 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (9016 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/googletest'... PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/libxsmm'... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 5%] tests/compute/test_data.py::test_fakenews PASSED [ 5%] tests/compute/test_data.py::test_reddit Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/thrust'... 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-4700 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/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-4700@4/third_party/METIS/GKlib'... 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] 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] 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] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' 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 SKIPPED [ 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] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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] 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%] 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 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[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] 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...) [ 6%] tests/compute/test_graph.py::test_query 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-4700@4/third_party/tensorpipe/third_party/googletest'... 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe/third_party/libnop'... PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe/third_party/libuv'... PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] PASSED [ 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] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] SKIPPED [ 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] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] PASSED [ 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 Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/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-4700@4/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-4700@4/third_party/thrust/dependencies/cub'... 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 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 [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 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-4700@4/third_party/tvm/3rdparty/dlpack'... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 1%] 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/rang'... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/vta-hw'... 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] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' 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] 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 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%] 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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-4700@4 collecting ... PASSED [ 2%] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] [ OK ] RowwiseTest.TestCOOerEtypeSampling (45002 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform run graph store with port 7305 collected 56 items tests/distributed/test_dist_graph_store.py::test_server_client Converting to homogeneous graph takes 0.004s, peak mem: 0.617 GB Convert a graph into a bidirected graph: 0.006 seconds, peak memory: 0.622 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 0.622 GB [09:39:46] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199882 edges into 4 parts and get 56506 edge cuts Metis partitioning: 0.058 seconds, peak memory: 0.634 GB Assigning nodes to METIS partitions takes 0.066s, peak mem: 0.634 GB Save partitions: 0.006 seconds, peak memory: 0.634 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 start client 1 /root/jenkins/workspace/dgl_PR-4700@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)'." [09:39:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. load dist_graph_test_2 start server 0 start graph service on server 0 for part 0 [09:39:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10930]... start client 2 [09:39:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start client 3 [09:39:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression [09:39:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1097] waits on 172.17.0.5:51347Client [1103] waits on 172.17.0.5:48991 Client [1115] waits on 172.17.0.5:37017 Client [1108] waits on 172.17.0.5:45385 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 (3) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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... Client[3] in group[0] is exiting... 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: 0.634 GB Save partitions: 0.007 seconds, peak memory: 0.634 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 /root/jenkins/workspace/dgl_PR-4700@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 [09:39:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:29678]... [09:39:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:39:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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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. 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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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 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 [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt SKIPPED (Do not su...) [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (29917 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (338 ms) [ RUN ] RowwiseTest.TestCOOTopk PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] Converting to homogeneous graph takes 0.008s, peak mem: 1.371 GB Save partitions: 0.049 seconds, peak memory: 1.371 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [09:40:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:40:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18170]... PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 5%] tests/compute/test_data.py::test_reddit [ OK ] RowwiseTest.TestCOOTopk (903 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] 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] 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 [ 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 [ 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 [ 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] 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] [ OK ] RowwiseTest.TestCSRSamplingBiased (3225 ms) [----------] 11 tests from RowwiseTest (170831 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement 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] 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] 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] Client [1174] waits on 172.17.0.5:47703 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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... 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] 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] Server (0) shutdown. Server is exiting... clients have terminated [ OK ] SampleUtilsTest.TestWithReplacement (2556 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique 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 [ 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 [ 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] 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 [ 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%] 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] 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] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3747 ms) [----------] 3 tests from SampleUtilsTest (6303 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 (58 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (43 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (43 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (85 ms) [----------] 4 tests from Serialize (229 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 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 [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] [ OK ] SpmatTest.COOToCSR (370 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (6 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (62 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (6 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 (2 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (5 ms) [ RUN ] SpmatTest.TestCSRSliceRows 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 [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] 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 [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%][ OK ] SpmatTest.TestCSRSliceRows (569 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (2 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 (1022 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (0 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (1 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (0 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (0 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (1 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (58 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR 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] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc SKIPPED (Do not support wi...) [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (176 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (42 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve 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 [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] [ OK ] UniGraphTest.TestUnitGraph_Reserve (109 ms) [----------] 7 tests from UniGraphTest (387 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (1 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (48 ms) [----------] 4 tests from ZeroCopySerialize (49 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (187858 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4700 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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 [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 20e8d6bd4695246ee601698d8a4c26ff256ce7e1bcff29595aa0fe236d83b214 PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] 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 [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 12%]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] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] 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 [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 15%]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] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 17%]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] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] 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 [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 19%]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] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] 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 [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] 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 [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] 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 [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] 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 [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] 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 [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] 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 [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] 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 [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] 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 [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] 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 [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] 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 [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] 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 [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] 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 [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] 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 [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] $ docker rm -f 20e8d6bd4695246ee601698d8a4c26ff256ce7e1bcff29595aa0fe236d83b214 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 [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] 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] Converting to homogeneous graph takes 0.007s, peak mem: 1.391 GB Save partitions: 0.022 seconds, peak memory: 1.391 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [09:40:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:40:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:11301]... PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] 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] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700 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] [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 [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] 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%]PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 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] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 25%] 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tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] 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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED 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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] Cleaning workspace Fetching without tags PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] 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] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED 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tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] 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] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] 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] > 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 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 [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] 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 [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] 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] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] 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] 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] } [Pipeline] // withEnv PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] [Pipeline] isUnix 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] [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] 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] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] dgl-manual-large-cpu does not seem to be running inside a container 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] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] 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] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] 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 [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] 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] Client [1196] waits on 172.17.0.5:57489 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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: 1.391 GB Save partitions: 0.006 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] 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] [09:40:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 start server 0 start graph service on server 0 for part 0 [09:40:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21465]... PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 36%] 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tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] 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 [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 36%] 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Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@24678593; 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 [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] Fetching without tags 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 [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 39%] 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tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] Commit message: "Merge branch 'master' into part17_" Cleaning workspace 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] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 40%] 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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 [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 43%] 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43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] 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 [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-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-4700/third_party/METIS'... 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 [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] 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 [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 45%]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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 45%] tests/pytorch/test_nn.py::test_sequential 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 [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] 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 [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... 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 [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] Client [1212] waits on 172.17.0.5:52529 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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... 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 [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... 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 [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] 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 [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.391 GB Save partitions: 0.006 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] 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 [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] 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 [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] 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 [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] /root/jenkins/workspace/dgl_PR-4700@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 [09:40:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:22511]... [09:40:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... 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 [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-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 [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 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] 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] 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] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] 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 Client [1226] waits on 172.17.0.5:38615 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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... 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 [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 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 [ 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] Server (0) shutdown. Server is exiting... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] 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: 1.391 GB Save partitions: 0.007 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] 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 [ 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] [09:40:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:40:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:40:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:29170]... 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 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 [ 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 [ 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 PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 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] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 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] 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] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 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] Client [1240] waits on 172.17.0.5:50181 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 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 [ 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] Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.391 GB Save partitions: 0.009 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] 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 [ 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27896]... [09:41:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] 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 [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb 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] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 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 [ 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] Client [1257] waits on 172.17.0.5:37315 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] Server (0) shutdown. Server is exiting... 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] clients have terminated PASSED [ 3%] tests/distributed/test_dist_graph_store.py::test_standalone Converting to homogeneous graph takes 0.003s, peak mem: 1.391 GB Save partitions: 0.008 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. end Client[-1] in group[-1] is exiting... PASSED [ 5%] tests/distributed/test_dist_graph_store.py::test_standalone_node_emb Converting to homogeneous graph takes 0.002s, peak mem: 1.391 GB Save partitions: 0.007 seconds, peak memory: 1.391 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... 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 [ 7%] tests/distributed/test_dist_graph_store.py::test_split[True] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 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 [ 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 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 [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... 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%] 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%]PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 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 [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred 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 [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... 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%] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 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] 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] Converting to homogeneous graph takes 0.009s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.449 GB [09:41:16] /root/jenkins/workspace/dgl_PR-4700/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: 0.188 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.206s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.019 seconds Split the graph: 0.068 seconds Construct subgraphs: 0.073 seconds Splitting the graph into partitions takes 0.161s, peak mem: 1.449 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: 0.045 seconds, peak memory: 1.449 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 8%] tests/distributed/test_dist_graph_store.py::test_split[False] Converting to homogeneous graph takes 0.002s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:41:17] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199906 edges into 4 parts and get 56398 edge cuts Metis partitioning: 0.045 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.004 seconds Split the graph: 0.024 seconds Construct subgraphs: 0.033 seconds Splitting the graph into partitions takes 0.061s, peak mem: 1.449 GB part 0 has 10000 nodes and 2500 are inside the partition part 0 has 91286 edges and 25127 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91058 edges and 24722 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91154 edges and 24964 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91620 edges and 25187 are inside the partition Save partitions: 0.015 seconds, peak memory: 1.449 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. 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 [ 10%] tests/distributed/test_dist_graph_store.py::test_split_even Converting to homogeneous graph takes 0.002s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:41:18] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199911 edges into 4 parts and get 56478 edge cuts Metis partitioning: 0.045 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.004 seconds Split the graph: 0.023 seconds 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] Construct subgraphs: 0.033 seconds Splitting the graph into partitions takes 0.061s, peak mem: 1.449 GB part 0 has 9999 nodes and 2501 are inside the partition part 0 has 91495 edges and 25013 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91238 edges and 25056 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91178 edges and 24655 are inside the partition part 3 has 10000 nodes and 2499 are inside the partition part 3 has 91543 edges and 25276 are inside the partition Save partitions: 0.013 seconds, peak memory: 1.449 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1717 nodes and 1693 are in the partition intersection has 1717 part 0 get 17284 edges and 17250 are in the partition intersection has 17284 part 1 get 1717 nodes and 1690 are in the partition intersection has 1717 part 1 get 17283 edges and 17283 are in the partition intersection has 17283 part 2 get 1717 nodes and 1715 are in the partition intersection has 1717 part 2 get 17283 edges and 17095 are in the partition intersection has 17283 part 3 get 1716 nodes and 1716 are in the partition intersection has 1716 part 3 get 17283 edges and 17283 are in the partition intersection has 17283 PASSED [ 12%] tests/distributed/test_dist_tensor.py::test_op Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Save partitions: 0.004 seconds, peak memory: 1.449 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 14%]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: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. 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] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:20624]... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/xbyak'... [09:41:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 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-4700/third_party/METIS/GKlib'... 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] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 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] 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-4700/third_party/tensorpipe/third_party/googletest'... PASSED [ 5%] tests/compute/test_data.py::test_explain_syn 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 [ 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 [ 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] 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] Client [1085] waits on 172.17.0.5:41377 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-4700@4/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@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: 1.449 GB Save partitions: 0.021 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... 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] 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-4700/third_party/tensorpipe/third_party/libuv'... 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-4700@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 [09:41:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... 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] [09:41:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 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] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-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] 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] 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] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] 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] 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 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-4700/third_party/thrust/dependencies/cub'... 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] Client [1085] waits on 172.17.0.5:56485 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 16%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:41:26] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.449 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: 1.449 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: 1.449 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. 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] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10819]... PASSED [ 52%] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10821]... 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-4700/third_party/tvm/3rdparty/dlpack'... 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] [09:41:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... 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] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] 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] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 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] 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] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-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 30 min [Pipeline] { [Pipeline] sh 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] + bash tests/scripts/task_unit_test.sh mxnet cpu 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] Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) Client [1085] waits on 172.17.0.5:39071 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... 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:41:32] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 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: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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] Collecting psutil Downloading psutil-5.9.2-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) 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] 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) /root/jenkins/workspace/dgl_PR-4700@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 [09:41:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... 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] Collecting pydantic PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 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-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] 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) Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) 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: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) 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: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) 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) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] 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 [ 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18026]... [09:41:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 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] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs 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] Client [1085] waits on 172.17.0.5:37381 Machine (0) group (0) client (0) connect to server successfuly! 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'." load test_get_degrees start graph service on server 0 for part 0 [09:41:39] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:39] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27870]... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] [09:41:39] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:39] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.64.0) 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] Client [1085] waits on 172.17.0.5:46879 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... 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) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) 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: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) 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) 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] 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) 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) 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] Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] Done get_degree Server (0) shutdown. Server is exiting... check results PASSED [ 19%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:41:43] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 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: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] 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] /root/jenkins/workspace/dgl_PR-4700@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 start graph service on server 0 for part 0 [09:41:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12848]... PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] 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 [ 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] 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] /root/jenkins/workspace/dgl_PR-4700@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 start graph service on server 1 for part 1 [09:41:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12850]... 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] 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] [09:41:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] 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 [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] 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 [1085] waits on 172.17.0.5:56849 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] Server (0) shutdown. Done get_degreeServer is exiting...Server (1) shutdown. Server is exiting... check results PASSED [ 21%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 23%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] 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: 1.449 GB Save partitions: 0.023 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] 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] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17223]... 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] 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] [09:41:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%]PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] 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] Client [1368] waits on 172.17.0.5:44653 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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: 1.449 GB Save partitions: 0.004 seconds, peak memory: 1.449 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:41:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:24719]... [09:41:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:41:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] 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] Client [1085] waits on 172.17.0.5:40943 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: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] [09:42:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] 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-4700 collecting ... 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] 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] Client [1085] waits on 172.17.0.5:56949 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: 1.449 GB Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... [09:42:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] 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] Client [1085] waits on 172.17.0.5:44209 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 0.001s, peak mem: 1.449 GB Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... [09:42:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] 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] 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] 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 [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] 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 [ 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 [ 1%] tests/compute/test_basics.py::test_issue_2484[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 [ 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 [ 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-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] SKIPPED (CP...) 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Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Save partitions: 0.002 seconds, peak memory: 1.449 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 [09:42:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... [09:42:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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[ 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%]PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] 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 ...) 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Client[0] in group[0] is exiting... Done samplingServer (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] 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 [ 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-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 [ 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%] 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 [ 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13648]... [09:42:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 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 [ 7%] tests/compute/test_heterograph.py::test_query[int32] 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 [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] 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 [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] Client [1085] waits on 172.17.0.5:36543 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... 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 [ 7%] tests/compute/test_heterograph.py::test_query[int64] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins 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] Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] 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] [09:42:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:42:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:23] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10819]... 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%]PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] 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 [ 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 [ 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 7%] tests/compute/test_heterograph.py::test_view1[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] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] 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 [ 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 [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] 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 [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-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 [ 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 [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] 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 [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] 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 [ 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] Client [1085] waits on 172.17.0.5:60497 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: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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 [ 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] [09:42:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:42:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19012]... PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] 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 [ 8%] tests/compute/test_heterograph.py::test_level2[int64] 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 [ 52%]PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] 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 [ 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 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 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 6%] tests/compute/test_graph.py::test_query 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] 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 [ 9%] tests/compute/test_heterograph.py::test_backward[int32] 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 [ 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 [ 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] Client [1085] waits on 172.17.0.5:51717 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Done sampling Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Save partitions: 0.001 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] 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 [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] 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 [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] 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] [09:42:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:42:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] 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-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 [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] 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 [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] 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 [ 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 [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] 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 [ 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 [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] 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 [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] 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 [ 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] 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 [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] 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] Client [1085] waits on 172.17.0.5:57289 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Done sampling Server is exiting... PASSED [ 25%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:42:44] /root/jenkins/workspace/dgl_PR-4700/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: 0.003 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.449 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: 0.029 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17314]... PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17316]... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 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] /root/jenkins/workspace/dgl_PR-4700@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)'." [09:42:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] 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 [ 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] 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] Client [1482] waits on 172.17.0.5:35077 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] 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] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] 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] Converting to homogeneous graph takes 0.002s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.449 GB [09:42:52] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.449 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: 0.008 seconds, peak memory: 1.449 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 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 [ 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] 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 [ 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] /root/jenkins/workspace/dgl_PR-4700@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 [09:42:53] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:53] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:14572]... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] 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 [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] 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 [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] [09:42:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:42:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:42:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:14574]... PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%]PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] 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 [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] 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 [ 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 [ 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] Client [1085] waits on 172.17.0.5:43841 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 Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:01] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.449 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: 1.449 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: 0.004 seconds, peak memory: 1.449 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19012]... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] 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] [09:43:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:43:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19014]... 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%] 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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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] 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 [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] 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 [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] 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] Client [1085] waits on 172.17.0.5:60535 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] Server (1) shutdown. Server is exiting... Done sampling PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] 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 [ 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] Converting to homogeneous graph takes 0.002s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:10] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.449 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 0.008s, peak mem: 1.449 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: 0.005 seconds, peak memory: 1.449 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... 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%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] SKIPPED [ 94%] 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] [09:43:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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 [09:43:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:12] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18026]... 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 10%] tests/compute/test_heterograph.py::test_format[idtype1] 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...) 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[ 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 [ 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_compute.xml -- ============================ slowest 100 durations ============================= 31.15s call tests/compute/test_kernel.py::test_all_binary_builtins 3.56s call tests/compute/test_heterograph.py::test_forking_pickler 1.01s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.85s call tests/compute/test_graph.py::test_query 0.70s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.60s call tests/compute/test_heterograph.py::test_query[idtype1] 0.52s call tests/compute/test_heterograph.py::test_query[idtype0] 0.50s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.42s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.33s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.31s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.30s call tests/compute/test_kernel.py::test_copy_src_reduce 0.28s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.27s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.27s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.24s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.24s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.24s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.24s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.23s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.23s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.23s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 0.18s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] ========= 2227 passed, 211 skipped, 216 warnings in 236.98s (0:03:56) ========== PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] ============================= 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-4700 collecting ... 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] Client [1085] waits on 172.17.0.5:43927 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] Server (1) shutdown. Server is exiting... Done sampling PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:19] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.449 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: 1.449 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: 1.449 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] 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%]PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] 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%]PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] 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%]PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] /root/jenkins/workspace/dgl_PR-4700@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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[09:43:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18026]... [09:43:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] 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 [ 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 [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 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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 [ 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] Client [1085] waits on 172.17.0.5:33437 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Done samplingServer is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:25] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.449 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: 1.449 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: 1.449 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 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%] 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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] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:26] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:26] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... 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tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18026]... 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 [ 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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] [09:43:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 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tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins 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] 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-4700/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-4700/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-4700/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-4700/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.32s call tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] 0.26s 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] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-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] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-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-pool-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-gcn-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[2-pool-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_sage_conv_bi_empty[2-gcn-idtype1] 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[1-gcn-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_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[1-2-g5-idtype0] 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[1-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 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[4-2-g6-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-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-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[1-1-g4-idtype0] 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[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 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[1-2-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 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[1-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-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[4-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-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[1-2-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 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[4-1-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-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-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[4-2-g6-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[4-2-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[1-2-g4-idtype1] 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[1-1-g2-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[1-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-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[4-1-g4-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[4-1-g1-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[4-2-g3-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[4-1-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_glob_att_pool 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] ====================== 920 passed, 35 warnings in 13.05s ======================= PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] [Pipeline] } 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 [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 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...) [ 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] 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 [ 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 [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 5956e8a04d1e912469917ad3ef9103c51ee967d2547d024e18a50294aa1d3b36 Client [1085] waits on 172.17.0.5:49027 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] Server (1) shutdown.Server (0) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:31] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 34 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.005 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.449 GB part 0 has 515 nodes of type game and 504 are inside the partition part 0 has 278 nodes of type user and 256 are inside the partition part 0 has 525 edges of type buys and 514 are inside the partition part 1 has 519 nodes of type game and 496 are inside the partition part 1 has 253 nodes of type user and 244 are inside the partition part 1 has 509 edges of type buys and 486 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins $ docker rm -f 5956e8a04d1e912469917ad3ef9103c51ee967d2547d024e18a50294aa1d3b36 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18024]... [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4700 [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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18026]... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] [09:43:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:33] /root/jenkins/workspace/dgl_PR-4700/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-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] 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/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] + docker pull dgllib/dgl-ci-gpu:cu101_v220816 Client [1085] waits on 172.17.0.5:38073 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: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:36] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.449 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 0.004s, peak mem: 1.449 GB part 0 has 520 nodes of type game and 507 are inside the partition part 0 has 254 nodes of type user and 243 are inside the partition part 0 has 500 edges of type buys and 487 are inside the partition part 1 has 504 nodes of type game and 493 are inside the partition part 1 has 270 nodes of type user and 257 are inside the partition part 1 has 524 edges of type buys and 513 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. 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] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] + 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-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-gpu:cu101_v220816 cat /root/jenkins/workspace/dgl_PR-4700@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 [09:43:37] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:37] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27870]... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] $ docker top 44562853dfb4a096f74b63eb4e0bcb431cc71d7272ebd74e777f27de9411a205 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh /root/jenkins/workspace/dgl_PR-4700@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 [09:43:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27872]... [09:43:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. + nvidia-smi Tue Oct 11 09:43:38 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 + 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@234b1636; 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] [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-4700/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] Client [1085] waits on 172.17.0.5:33433 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:42] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 18 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.449 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 0.004s, peak mem: 1.449 GB part 0 has 517 nodes of type game and 513 are inside the partition part 0 has 267 nodes of type user and 254 are inside the partition part 0 has 541 edges of type buys and 537 are inside the partition part 1 has 501 nodes of type game and 487 are inside the partition part 1 has 250 nodes of type user and 246 are inside the partition part 1 has 477 edges of type buys and 463 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10976]... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:10978]... [09:43:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] 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 [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] Client [1085] waits on 172.17.0.5:42235 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: 1.449 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:47] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 29 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.449 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.449 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: 1.449 GB part 0 has 519 nodes of type game and 510 are inside the partition part 0 has 274 nodes of type user and 257 are inside the partition part 0 has 536 edges of type buys and 526 are inside the partition part 1 has 509 nodes of type game and 490 are inside the partition part 1 has 253 nodes of type user and 243 are inside the partition part 1 has 493 edges of type buys and 474 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:26559]... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge /root/jenkins/workspace/dgl_PR-4700@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 [09:43:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:26561]... [09:43:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] 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 Client [1085] waits on 172.17.0.5:60679 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done samplingServer (1) shutdown. Server is exiting... PASSED [ 26%] 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: 1.449 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.021 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 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: 1.449 GB Save partitions: 0.036 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 28%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:53] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition 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] part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.025 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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] 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] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17223]... 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] 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] /root/jenkins/workspace/dgl_PR-4700@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 [09:43:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17225]... [09:43:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] 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] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] 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] Client [1085] waits on 172.17.0.5:38177 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 [ 30%] 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: 1.449 GB Save partitions: 0.002 seconds, peak memory: 1.449 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-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: 1.449 GB Save partitions: 0.023 seconds, peak memory: 1.449 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: 1.449 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.026 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 32%] tests/distributed/test_mp_dataloader.py::test_standalone 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] 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: 1.449 GB Save partitions: 0.025 seconds, peak memory: 1.449 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. 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 33%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:43:59] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 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: 1.449 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-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:43:59] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:43:59] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:23848]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:23851]... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:01] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:01] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:23854]... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] 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] [09:44:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] 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] Client [1692] waits on 172.17.0.5:57145 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] 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] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 35%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:44:07] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition 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 [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] 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: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/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-4700/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21149]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-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' 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-4700/third_party/tensorpipe/third_party/googletest'... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21152]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] 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] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21155]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... [09:44:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] Client [1720] waits on 172.17.0.5:53645 Client [1726] waits on 172.17.0.5:38223Client [1728] waits on 172.17.0.5:38619 Machine (0) group (0) client (4) connect to server successfuly! Client [1729] waits on 172.17.0.5:45651 Client [1727] waits on 172.17.0.5:46141 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 (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%]Client[3] in group[0] is exiting... 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-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-4700/third_party/thrust/dependencies/cub'... 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] Client[1] in group[0] is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] Client[2] in group[0] is exiting... 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] Server (2) shutdown.Server (0) shutdown. Server is exiting... Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-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-4700/third_party/tvm/3rdparty/dlpack'... 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] 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[idtype0-min-div-shp1-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 37%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:44:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.449 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.449 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 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] 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: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19105]... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] 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] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19108]... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19111]... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] 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] [09:44:22] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:22] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] 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already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) 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: 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) 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: 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 10.2 MB/s eta 0:00:00 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: 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: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cu102) 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: 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: 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: 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) 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] 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: 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) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] Server (2) shutdown. Server is exiting... 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 39%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:44:27] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 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: 0.016 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] ============================= 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-4700 collecting ... 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:15094]... 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:29] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:29] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:15097]... 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:44:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:15100]... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 66%]PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] [09:44:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] Client [1864] waits on 172.17.0.5:60775Client [1856] waits on 172.17.0.5:56969 Client [1865] waits on 172.17.0.5:43631Client [1862] waits on 172.17.0.5:50599Client [1863] waits on 172.17.0.5:46435 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 (0) 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-4700@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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. 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] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] collected 2438 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 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] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] 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] Client[1] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] Client[4] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] 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 [ 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 [ 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] 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] 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] Client[0] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] 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 SKIPPED [ 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] 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%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] 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 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 Server (0) shutdown. Server (2) shutdown.Server is exiting... Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] 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] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 41%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:44:39] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 GB Split the graph: 0.002 seconds 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.449 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: 0.016 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] server: #clients=1 load test_sampling PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] start graph service on server 0 for part 0 [09:44:40] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:40] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17055]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [09:44:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17058]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [09:44:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17061]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] [09:44:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] 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 [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] 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 [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] 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 [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] 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 [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 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 [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] Client [1962] waits on 172.17.0.5:59271 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 [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] 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 [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 42%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:44:47] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 GB Split the graph: 0.002 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.449 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: 0.015 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] 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 [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [09:44:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:48] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21029]... PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [09:44:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:49] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21032]... PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] 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] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [09:44:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21035]... PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] [09:44:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:44:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] 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 [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] Client [1996] waits on 172.17.0.5:56871Client [1997] waits on 172.17.0.5:55325 Client [1998] waits on 172.17.0.5:55009 Client [1999] waits on 172.17.0.5:41431 Client [1992] waits on 172.17.0.5:47053 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 (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! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] 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] Client[3] in group[0] is exiting... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] Client[2] in group[0] is exiting... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] 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] Client[0] in group[0] is exiting... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] Server (2) shutdown. Server is exiting... Server (1) shutdown. Server (0) shutdown.Server is exiting... Server is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%]PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 44%] 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 0.001s, peak mem: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] [09:44:59] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 GB Split the graph: 0.002 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.449 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: 0.017 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] 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] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [09:45:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:00] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13349]... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [09:45:01] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:01] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13352]... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [09:45:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:02] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13355]... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] [09:45:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] Client [2098] waits on 172.17.0.5:41029 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] 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] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 46%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:45:07] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 GB Split the graph: 0.002 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.449 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: 0.016 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [09:45:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13039]... 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [09:45:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13042]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [09:45:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:09] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13045]... PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] [09:45:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%]PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] 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] [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:11] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] 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 [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] 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 [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%]PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] Client [2132] waits on 172.17.0.5:58705Client [2133] waits on 172.17.0.5:43911 Client [2134] waits on 172.17.0.5:35367 Client [2135] waits on 172.17.0.5:33387 Machine (0) group (0) client (0) connect to server successfuly! Client [2126] waits on 172.17.0.5:54411Machine (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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] Client[2] in group[0] is exiting... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] Client[1] in group[0] is exiting... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] Client[0] in group[0] is exiting... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] 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] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] 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 [ 48%] 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: 1.449 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.449 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.449 GB [09:45:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.449 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.449 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: 1.449 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: 0.016 seconds, peak memory: 1.449 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_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-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@4/python/dgl/distributed/graph_partition_book.py:813: DGLWarning: Etype with 'str' format is deprecated. 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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 [09:45:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:22455]... 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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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] 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] 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tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] 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 [ 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] 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%] 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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%]PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 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%] 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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[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 [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] PASSED [ 12%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] PASSED [ 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] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] SKIPPED [ 12%] 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13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] 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[idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] 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%]PASSED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] SKIPPED [ 13%] tests/compute/test_random.py::test_random_choice SKIPPED (GPU random...) [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] 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] 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] 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] 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] 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 [ 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 [ 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 [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%]PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] 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 [ 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%] 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] 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] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] 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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tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] 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 [ 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] 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 [ 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 [ 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] 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%] 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/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] 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/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] 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 [ 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] 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] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) 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tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%]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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] 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%] 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tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] 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%] 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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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] 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 [ 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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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] 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%] 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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 [ 60%]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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] 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%] 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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 [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] 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%] 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tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] 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%] 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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 [ 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 [ 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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] 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 [ 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%] 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] 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%] 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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 [ 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 [ 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] Converting to homogeneous graph takes 0.010s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:45:41] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152305 edge cuts Metis partitioning: 0.179 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.196s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.046 seconds Construct subgraphs: 0.045 seconds Splitting the graph into partitions takes 0.107s, peak mem: 1.849 GB part 0 has 9948 nodes of type n1 and 3134 are inside the partition part 0 has 9963 nodes of type n2 and 3139 are inside the partition part 0 has 9970 nodes of type n3 and 3143 are inside the partition part 0 has 47336 edges of type r1 and 31246 are inside the partition part 0 has 47751 edges of type r2 and 31266 are inside the partition part 0 has 47559 edges of type r3 and 31455 are inside the partition part 1 has 9970 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3440 are inside the partition part 1 has 51581 edges of type r1 and 34398 are inside the partition part 1 has 51763 edges of type r2 and 34425 are inside the partition part 1 has 51675 edges of type r3 and 34421 are inside the partition part 2 has 9979 nodes of type n1 and 3433 are inside the partition part 2 has 9973 nodes of type n2 and 3435 are inside the partition part 2 has 9990 nodes of type n3 and 3437 are inside the partition part 2 has 51728 edges of type r1 and 34456 are inside the partition part 2 has 51834 edges of type r2 and 34509 are inside the partition part 2 has 51678 edges of type r3 and 34424 are inside the partition Save partitions: 0.037 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:45:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13169]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:45:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13172]... 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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%]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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@3/python/dgl/data/citation_graph.py:287: 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@3/pytest_compute.xml - ============================ slowest 100 durations ============================= 91.08s call tests/compute/test_data.py::test_reddit 60.56s call tests/compute/test_kernel.py::test_all_binary_builtins 48.69s call tests/compute/test_data.py::test_fakenews 28.27s call tests/compute/test_data.py::test_as_graphpred 21.96s call tests/compute/test_data.py::test_gin 21.86s call tests/compute/test_data.py::test_as_graphpred_ogb 17.81s call tests/compute/test_sampler.py::test_negative_sampler 10.52s call tests/compute/test_data.py::test_as_linkpred_ogb 9.37s call tests/compute/test_data.py::test_tudataset_regression 8.26s call tests/compute/test_data.py::test_gnn_benchmark 7.87s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.18s call tests/compute/test_data.py::test_as_nodepred_ogb 3.70s call tests/compute/test_data.py::test_fraud 3.68s call tests/compute/test_data.py::test_wiki_cs 3.32s call tests/compute/test_data.py::test_citation_graph 2.90s call tests/compute/test_data.py::test_add_nodepred_split 2.66s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.40s call tests/compute/test_sampling.py::test_sample_neighbors_prob 2.23s call tests/compute/test_graph.py::test_query 2.21s call tests/compute/test_data.py::test_flickr 1.65s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.57s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.38s call tests/compute/test_kernel.py::test_copy_edge_reduce 1.22s call tests/compute/test_heterograph.py::test_forking_pickler 1.22s call tests/compute/test_kernel.py::test_copy_src_reduce 1.09s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 1.07s call tests/compute/test_heterograph.py::test_query[idtype0] 0.87s call tests/compute/test_data.py::test_explain_syn 0.78s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.74s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.64s call tests/compute/test_data.py::test_minigc 0.63s call tests/compute/test_heterograph.py::test_query[idtype1] 0.59s call tests/compute/test_transform.py::test_reorder_nodes 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] 0.50s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.49s call tests/compute/test_data.py::test_csvdataset 0.48s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] 0.46s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] 0.46s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] 0.46s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.45s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] 0.44s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] 0.42s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] 0.40s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] 0.39s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] 0.38s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] 0.37s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] 0.36s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] 0.33s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] 0.32s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] 0.32s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] 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-max-div-shp4-g1] 0.31s call tests/compute/test_data.py::test_as_nodepred2 0.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] ========== 2385 passed, 53 skipped, 264 warnings in 502.01s (0:08:22) ========== PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] 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 [ 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%]server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:45:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:13175]... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] 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%] 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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] ============================= 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-4700@3 collecting ... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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%] 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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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] 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%] 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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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_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 [ 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] [09:45:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] 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[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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] 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...) 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tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] 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 [ 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] collected 4091 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_compute.xml -- ============================ slowest 100 durations ============================= 23.68s call tests/compute/test_data.py::test_as_graphpred_ogb 12.13s call tests/compute/test_data.py::test_as_linkpred_ogb 6.96s call tests/compute/test_data.py::test_as_nodepred_ogb 6.64s call tests/compute/test_sampler.py::test_negative_sampler 3.20s call tests/compute/test_kernel.py::test_all_binary_builtins 1.26s call tests/compute/test_heterograph.py::test_forking_pickler 0.66s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.38s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.27s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.25s call tests/compute/test_graph.py::test_query 0.19s call tests/compute/test_heterograph.py::test_query[idtype0] 0.19s call tests/compute/test_heterograph.py::test_query[idtype1] 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.18s 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_apply_edges_hetero.py::test_binary_op[idtype1] 0.15s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 0.14s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.12s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.12s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.12s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.11s call tests/compute/test_kernel.py::test_copy_src_reduce 0.11s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.11s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.10s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.10s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.08s 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[idtype0] 0.06s call tests/compute/test_heterograph.py::test_updates[idtype1] 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_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.05s call tests/compute/test_heterograph.py::test_level2[idtype1] 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_sampler.py::test_10neighbor_sampler 0.03s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 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_new_update_all_hetero.py::test_unary_copy_e[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[idtype1] 0.03s call tests/compute/test_heterograph.py::test_format[idtype0] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 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] 0.02s call tests/compute/test_serialize.py::test_load_old_files1 0.02s call tests/compute/test_sampler.py::test_setseed 0.02s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 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_subgraph.py::test_subgraph1[idtype1] 0.02s call tests/compute/test_transform.py::test_to_block[idtype1] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_sampler.py::test_layer_sampler 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype0] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.02s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] 0.02s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype0] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_float_cast 0.02s call tests/compute/test_transform.py::test_module_sign[g0] 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.01s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.01s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.01s call tests/compute/test_heterograph.py::test_remove_edges[idtype0] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.01s call tests/compute/test_heterograph.py::test_remove_edges[idtype1] 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_transform.py::test_add_selfloop[idtype1] 0.01s call tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] ========== 2329 passed, 109 skipped, 222 warnings in 78.49s (0:01:18) ========== PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 84%]============================= 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-4700 collecting ... tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] Client [2272] waits on 172.17.0.5:36389 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] Client[0] in group[0] is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 50%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] 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: 1.849 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:45:51] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.849 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: 1.849 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: 1.849 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:45:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21763]... PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] collected 4091 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_saint[walk-0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] load test_sampling start graph service on server 1 for part 1 [09:45:53] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:53] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21766]... PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:45:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:54] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21769]... PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] [09:45:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] [[09:45:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:45:56:] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc140:: Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [09:45:56] [/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:45:56:] 159/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc: :Receiver with NetType~159socket: is created.Receiver with NetType~ socket is created. [09:45:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:45:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:45:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] 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 [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] Client [2309] waits on 172.17.0.5:45675 Client [2302] waits on 172.17.0.5:38841 Client [2306] waits on 172.17.0.5:39289 Client [2308] waits on 172.17.0.5:50137 Client [2307] waits on 172.17.0.5:49007 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! 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-4700@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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] Client[3] in group[0] is exiting... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] Client[4] in group[0] is exiting... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] Client[2] in group[0] is exiting... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 0%] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] 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] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] PASSED [ 0%] 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] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] PASSED [ 1%]PASSED [ 88%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 88%] tests/pytorch/test_optim.py::test_sparse_adam[1] SKIPPED (Do not sup...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[4] SKIPPED (Do not sup...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[101] SKIPPED (Do not s...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[1024] SKIPPED (Do not ...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] SKIPPED (...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (D...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] SKIPPED (D...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] SKIPPED (...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (D...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] SKIPPED (D...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 90%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 90%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 90%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 90%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 90%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 90%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (D...) [ 90%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 90%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 90%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 91%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 98%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-4] SKIPPED [ 99%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 99%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 99%] 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\backend.py:1841 C:\Jenkins\workspace\dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] C:\Jenkins\workspace\dgl_PR-4700@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-4700@2\pytest_backend.xml -- ============================ slowest 100 durations ============================ 9.98s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 9.07s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 8.64s call tests/pytorch/test_dataloader.py::test_shadow[0] 8.53s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 8.35s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 8.29s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 8.02s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 8.02s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 7.98s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 7.97s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 7.93s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 7.90s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 7.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 7.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 7.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 6.59s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] 5.35s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 5.33s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 5.30s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 5.27s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 4.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 3.42s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 3.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 2.83s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 2.54s call tests/pytorch/test_dataloader.py::test_shadow[4] 2.52s call tests/pytorch/test_dataloader.py::test_saint[node-4] 2.48s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 2.47s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 2.44s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 2.44s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 2.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 2.28s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 2.09s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 2.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 1.94s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 1.92s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] 1.91s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.91s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 1.86s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] 1.80s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] 1.79s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] 1.78s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] 1.77s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] 1.74s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] 1.65s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] 1.64s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 1.61s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] 1.61s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] 1.59s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] 1.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 1.54s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] 1.52s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.50s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] 1.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 1.43s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.41s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] 1.41s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.36s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 1.35s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] 1.34s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] 1.32s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] 1.32s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] 1.27s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 1.26s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] 1.24s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] 1.22s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 1.22s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] 1.21s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] 1.16s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] 1.12s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] 1.10s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] 1.09s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] 1.06s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] 1.03s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] 1.03s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] 1.03s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 1.02s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] 1.00s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] 0.99s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] 0.99s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] 0.99s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] 0.99s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] 0.98s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] 0.97s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] 0.95s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] 0.90s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] 0.89s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] 0.89s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 0.88s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] 0.86s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] 0.86s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] 0.85s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] ========= 3700 passed, 391 skipped, 148 warnings in 539.57s (0:08:59) ========= PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4700-2\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4700@2 collecting ... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 1%] 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 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 [ 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] Converting to homogeneous graph takes 0.010s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:46:18] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152440 edge cuts Metis partitioning: 0.192 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.211s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.017 seconds Split the graph: 0.051 seconds Construct subgraphs: 0.050 seconds Splitting the graph into partitions takes 0.119s, peak mem: 1.849 GB part 0 has 9949 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3138 are inside the partition part 0 has 9966 nodes of type n3 and 3142 are inside the partition part 0 has 47579 edges of type r1 and 31472 are inside the partition part 0 has 47576 edges of type r2 and 31211 are inside the partition part 0 has 47579 edges of type r3 and 31318 are inside the partition part 1 has 9981 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9992 nodes of type n3 and 3438 are inside the partition part 1 has 51202 edges of type r1 and 34072 are inside the partition part 1 has 51959 edges of type r2 and 34425 are inside the partition part 1 has 51654 edges of type r3 and 34304 are inside the partition part 2 has 9967 nodes of type n1 and 3433 are inside the partition part 2 has 9974 nodes of type n2 and 3436 are inside the partition part 2 has 9991 nodes of type n3 and 3440 are inside the partition part 2 has 51832 edges of type r1 and 34556 are inside the partition part 2 has 51717 edges of type r2 and 34564 are inside the partition part 2 has 51942 edges of type r3 and 34678 are inside the partition Save partitions: 0.039 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21270]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21273]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 1%] 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:21] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21276]... 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 [ 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 [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[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 [ 2%]PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] [09:46:22] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:22] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] 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%] 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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 (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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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PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] Server (0) shutdown. Server is exiting... Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 51%] 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: 1.849 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:46:30] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.849 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: 1.849 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: 1.849 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 3%] 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:29782]... PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:29785]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:29788]... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] [09:46:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] Client [2524] waits on 172.17.0.5:48649 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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... Converting to homogeneous graph takes 0.011s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:46:54] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152440 edge cuts Metis partitioning: 0.188 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.208s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.018 seconds Split the graph: 0.049 seconds Construct subgraphs: 0.050 seconds Splitting the graph into partitions takes 0.118s, peak mem: 1.849 GB part 0 has 9949 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3138 are inside the partition part 0 has 9966 nodes of type n3 and 3142 are inside the partition part 0 has 47579 edges of type r1 and 31472 are inside the partition part 0 has 47576 edges of type r2 and 31211 are inside the partition part 0 has 47579 edges of type r3 and 31318 are inside the partition part 1 has 9981 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9992 nodes of type n3 and 3438 are inside the partition part 1 has 51202 edges of type r1 and 34072 are inside the partition part 1 has 51959 edges of type r2 and 34425 are inside the partition part 1 has 51654 edges of type r3 and 34304 are inside the partition part 2 has 9967 nodes of type n1 and 3433 are inside the partition part 2 has 9974 nodes of type n2 and 3436 are inside the partition part 2 has 9991 nodes of type n3 and 3440 are inside the partition part 2 has 51832 edges of type r1 and 34556 are inside the partition part 2 has 51717 edges of type r2 and 34564 are inside the partition part 2 has 51942 edges of type r3 and 34678 are inside the partition Save partitions: 0.044 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:55] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18667]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:56] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18670]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:46:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:18673]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] [09:46:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:46:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 18%] 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tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] Client[0] in group[0] is exiting... PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 3%] 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 53%] 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: 1.849 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:47:02] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.849 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: 1.849 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: 1.849 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 26%] 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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 [09:47:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:03] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:11423]... PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 29%] 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server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:11426]... PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 38%] 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tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 45%] tests/pytorch/test_nn.py::test_sequential PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 46%][09:47:06] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:06] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 47%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] [09:47:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:47:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[09:47:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:47:07:] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc140:: Sender with NetType~140: socketSender with NetType~ is created.socket is created. [09:47:07[] 09:47:07/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 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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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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] Client [2601] waits on 172.17.0.5:44365Client [2594] waits on 172.17.0.5:47157 Client [2599] waits on 172.17.0.5:38183 Client [2600] waits on 172.17.0.5:59717 Client [2598] waits on 172.17.0.5:58007 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-4700@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[3] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 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] Client[0] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] Client[4] in group[0] is exiting... PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] Client[1] in group[0] is exiting... PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 48%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 48%] tests/pytorch/test_nn.py::test_twirls PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 48%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] 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 [ 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] 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] 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%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] PASSED [ 16%] 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%] 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 [ 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 [ 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] 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%] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] 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 [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 66%]PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 13%]PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 16%]PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] Converting to homogeneous graph takes 0.009s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:47:29] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152440 edge cuts Metis partitioning: 0.196 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.214s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.023 seconds Split the graph: 0.060 seconds Construct subgraphs: 0.051 seconds Splitting the graph into partitions takes 0.135s, peak mem: 1.849 GB part 0 has 9949 nodes of type n1 and 3134 are inside the partition part 0 has 9949 nodes of type n2 and 3138 are inside the partition part 0 has 9966 nodes of type n3 and 3142 are inside the partition part 0 has 47579 edges of type r1 and 31472 are inside the partition part 0 has 47576 edges of type r2 and 31211 are inside the partition part 0 has 47579 edges of type r3 and 31318 are inside the partition part 1 has 9981 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9992 nodes of type n3 and 3438 are inside the partition part 1 has 51202 edges of type r1 and 34072 are inside the partition part 1 has 51959 edges of type r2 and 34425 are inside the partition part 1 has 51654 edges of type r3 and 34304 are inside the partition part 2 has 9967 nodes of type n1 and 3433 are inside the partition part 2 has 9974 nodes of type n2 and 3436 are inside the partition part 2 has 9991 nodes of type n3 and 3440 are inside the partition part 2 has 51832 edges of type r1 and 34556 are inside the partition part 2 has 51717 edges of type r2 and 34564 are inside the partition part 2 has 51942 edges of type r3 and 34678 are inside the partition Save partitions: 0.039 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:30] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:25054]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:25057]... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:32] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:25060]... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] [09:47:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:33] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] 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 [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:34] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 75%]PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 77%]PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] Client [2714] waits on 172.17.0.5:60185 Client [2715] waits on 172.17.0.5:40115 Client [2717] waits on 172.17.0.5:36833 Client [2716] waits on 172.17.0.5:33181 Client [2710] waits on 172.17.0.5:33919 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! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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_exclude_edges_heteroG[int32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] Client[3] in group[0] is exiting... 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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] Client[0] in group[0] is exiting... PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] Client[2] in group[0] is exiting... PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%]test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[ tests/compute/test_serialize.py::test_serialize_empty_dict PASSED False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_ [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn [ 22%] tests/compute/test_serialize.py::test_load_old_files.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pyt2 PASSED [ 22%] tests/compute/test_serialize.py::test_dorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 80eserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PAS.py::test_serialize_heterograph SED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] 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] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 22%]PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 55%] 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: 1.849 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:47:41] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.849 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: 1.849 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: 1.849 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27571]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 83%]PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27574]... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:47:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:27577]... PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] [09:47:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:47:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] Client [2816] waits on 172.17.0.5:37435 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] Server (1) shutdown.Server (0) shutdown. Server (2) shutdown.Server is exiting...Server is exiting... Server is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 88%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 90%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_view PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_unpin_automatically PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_empty PASSED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] PASSED [ 39%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 42%]PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 45%] tests/pytorch/test_nn.py::test_sequential PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 90%] tests/pytorch/test_stream.py::test_basics PASSED [ 90%] tests/pytorch/test_stream.py::test_set_get_stream PASSED [ 90%] tests/pytorch/test_stream.py::test_record_stream_ndarray PASSED [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_positive PASSED [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_negative PASSED [ 90%] tests/pytorch/test_unified_tensor.py::test_unified_tensor PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 90%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 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tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype0] PASSED [ 91%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype1] PASSED [ 91%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype0] PASSED [ 91%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype1] PASSED [ 91%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype0] PASSED [ 91%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype0] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype1] PASSED [ 92%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_expose_op PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_dense_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_sparse_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_diag_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_diag_dense_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_diag_sparse_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_diag_diag_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_dense_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_sparse_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_diag_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_dense_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_sparse_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_diag_mm PASSED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-2] SKIPPED [ 93%]PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-None] SKIPPED [ 93%] 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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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4700/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-4700/pytest_backend.xml -- ============================ slowest 100 durations ============================= 25.70s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.22s call tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] 5.19s 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] 1.77s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.46s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.31s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.24s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.24s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.20s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.19s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.14s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.11s call tests/pytorch/test_ipc.py::test_torch_ipc 1.00s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 0.82s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.82s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.81s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.77s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.76s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.72s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.69s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.64s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.52s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.49s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-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-g0-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 0.47s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.46s 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] 0.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 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_sampler0-full-idtype1] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.22s 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] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 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_sampler2-neighbor-idtype0] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.12s 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_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] 0.10s call tests/pytorch/test_unified_tensor.py::test_unified_tensor 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] 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-uva-neg_sampler0-neighbor-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] 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_sampler2-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] ========= 3822 passed, 269 skipped, 864 warnings in 135.09s (0:02:15) ========== PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] [Pipeline] sh PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] + 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] [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@5a3c2b32; 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] Fetching without tags PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] + 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' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%]Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] Converting to homogeneous graph takes 0.013s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.021 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:48:04] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152230 edge cuts Metis partitioning: 0.205 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.227s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.024 seconds Split the graph: 0.045 seconds Construct subgraphs: 0.045 seconds Splitting the graph into partitions takes 0.115s, peak mem: 1.849 GB part 0 has 9942 nodes of type n1 and 3136 are inside the partition part 0 has 9969 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 47536 edges of type r1 and 31231 are inside the partition part 0 has 47715 edges of type r2 and 31412 are inside the partition part 0 has 47633 edges of type r3 and 31593 are inside the partition part 1 has 9980 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9999 nodes of type n3 and 3440 are inside the partition part 1 has 51509 edges of type r1 and 34381 are inside the partition part 1 has 51547 edges of type r2 and 34095 are inside the partition part 1 has 51786 edges of type r3 and 34475 are inside the partition part 2 has 9976 nodes of type n1 and 3431 are inside the partition part 2 has 9983 nodes of type n2 and 3435 are inside the partition part 2 has 9993 nodes of type n3 and 3440 are inside the partition part 2 has 51763 edges of type r1 and 34488 are inside the partition part 2 has 51895 edges of type r2 and 34693 are inside the partition part 2 has 51446 edges of type r3 and 34232 are inside the partition Save partitions: 0.035 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:14090]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:06] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:06] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:14093]... 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:14096]... 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] [09:48:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] Client [2856] waits on 172.17.0.5:35775 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4700@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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] 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 [ 57%] 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: 1.849 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:48:12] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.849 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: 1.849 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: 0.016 seconds, peak memory: 1.849 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:13] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:22403]... [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 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] + bash tests/scripts/task_example_test.sh gpu PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:14] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:14] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:22406]... 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] /root/jenkins/workspace/dgl_PR-4700/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([0.0150, 0.0159, 0.0110, 0.0157, 0.0085, 0.0063, 0.0081, 0.0063, 0.0015, 0.0081, 0.0113, 0.0139, 0.0092, 0.0110, 0.0068, 0.0060, 0.0103, 0.0015, 0.0093, 0.0091, 0.0117, 0.0081, 0.0112, 0.0069, 0.0090, 0.0114, 0.0142, 0.0107, 0.0061, 0.0114, 0.0127, 0.0065, 0.0067, 0.0101, 0.0107, 0.0102, 0.0117, 0.0093, 0.0032, 0.0120, 0.0114, 0.0098, 0.0107, 0.0143, 0.0106, 0.0088, 0.0099, 0.0065, 0.0083, 0.0125, 0.0079, 0.0094, 0.0082, 0.0152, 0.0112, 0.0141, 0.0068, 0.0120, 0.0048, 0.0053, 0.0126, 0.0081, 0.0063, 0.0094, 0.0107, 0.0088, 0.0106, 0.0136, 0.0171, 0.0138, 0.0079, 0.0171, 0.0111, 0.0076, 0.0079, 0.0135, 0.0059, 0.0090, 0.0139, 0.0075, 0.0096, 0.0128, 0.0123, 0.0106, 0.0144, 0.0075, 0.0114, 0.0113, 0.0061, 0.0063, 0.0104, 0.0051, 0.0109, 0.0065, 0.0092, 0.0111, 0.0089, 0.0142, 0.0093, 0.0064]) server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:15] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:15] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:22409]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] [09:48:16] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:16] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:17] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-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] Client [2892] waits on 172.17.0.5:59197Client [2893] waits on 172.17.0.5:59987 Client [2891] waits on 172.17.0.5:46951 Client [2884] waits on 172.17.0.5:36095Client [2890] waits on 172.17.0.5:39527 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-4700@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... Client[1] in group[0] is exiting... 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] Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] Client[4] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] Server (2) shutdown. Server (0) shutdown.Server is exiting... Server (1) shutdown.Server is exiting... Server is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4700/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700/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 1.9461 | Accuracy 0.1660 Epoch 00001 | Loss 1.9435 | Accuracy 0.2100 Epoch 00002 | Loss 1.9395 | Accuracy 0.2960 Epoch 00003 | Loss 1.9351 | Accuracy 0.3300 Epoch 00004 | Loss 1.9278 | Accuracy 0.4020 Epoch 00005 | Loss 1.9207 | Accuracy 0.4700 Epoch 00006 | Loss 1.9142 | Accuracy 0.4960 Epoch 00007 | Loss 1.9096 | Accuracy 0.5340 Epoch 00008 | Loss 1.8991 | Accuracy 0.5580 Epoch 00009 | Loss 1.8882 | Accuracy 0.5880 Epoch 00010 | Loss 1.8711 | Accuracy 0.6160 Epoch 00011 | Loss 1.8748 | Accuracy 0.6540 Epoch 00012 | Loss 1.8524 | Accuracy 0.6940 Epoch 00013 | Loss 1.8440 | Accuracy 0.7100 Epoch 00014 | Loss 1.8301 | Accuracy 0.7160 Epoch 00015 | Loss 1.8166 | Accuracy 0.7180 Epoch 00016 | Loss 1.8008 | Accuracy 0.7180 Epoch 00017 | Loss 1.7955 | Accuracy 0.7220 Epoch 00018 | Loss 1.7717 | Accuracy 0.7240 Epoch 00019 | Loss 1.7575 | Accuracy 0.7340 Epoch 00020 | Loss 1.7473 | Accuracy 0.7380 Epoch 00021 | Loss 1.7346 | Accuracy 0.7400 Epoch 00022 | Loss 1.7106 | Accuracy 0.7340 Epoch 00023 | Loss 1.6886 | Accuracy 0.7320 Epoch 00024 | Loss 1.6693 | Accuracy 0.7380 Epoch 00025 | Loss 1.6729 | Accuracy 0.7340 Epoch 00026 | Loss 1.6412 | Accuracy 0.7320 Epoch 00027 | Loss 1.6222 | Accuracy 0.7360 Epoch 00028 | Loss 1.6050 | Accuracy 0.7340 Epoch 00029 | Loss 1.5929 | Accuracy 0.7400 Epoch 00030 | Loss 1.5687 | Accuracy 0.7360 Epoch 00031 | Loss 1.5397 | Accuracy 0.7480 Epoch 00032 | Loss 1.5431 | Accuracy 0.7480 Epoch 00033 | Loss 1.5164 | Accuracy 0.7440 Epoch 00034 | Loss 1.4672 | Accuracy 0.7520 Epoch 00035 | Loss 1.4711 | Accuracy 0.7540 Epoch 00036 | Loss 1.4410 | Accuracy 0.7560 Epoch 00037 | Loss 1.4099 | Accuracy 0.7580 Epoch 00038 | Loss 1.3980 | Accuracy 0.7600 Epoch 00039 | Loss 1.3815 | Accuracy 0.7680 Epoch 00040 | Loss 1.3194 | Accuracy 0.7780 Epoch 00041 | Loss 1.3497 | Accuracy 0.7780 Epoch 00042 | Loss 1.3011 | Accuracy 0.7760 Epoch 00043 | Loss 1.2602 | Accuracy 0.7740 Epoch 00044 | Loss 1.2898 | Accuracy 0.7680 Epoch 00045 | Loss 1.2500 | Accuracy 0.7620 Epoch 00046 | Loss 1.2063 | Accuracy 0.7580 Epoch 00047 | Loss 1.1923 | Accuracy 0.7580 Epoch 00048 | Loss 1.2114 | Accuracy 0.7580 Epoch 00049 | Loss 1.1343 | Accuracy 0.7560 Epoch 00050 | Loss 1.1480 | Accuracy 0.7660 Epoch 00051 | Loss 1.1270 | Accuracy 0.7660 Epoch 00052 | Loss 1.1048 | Accuracy 0.7700 Epoch 00053 | Loss 1.0671 | Accuracy 0.7760 Epoch 00054 | Loss 1.0217 | Accuracy 0.7760 Epoch 00055 | Loss 1.0331 | Accuracy 0.7840 Epoch 00056 | Loss 1.0374 | Accuracy 0.7840 Epoch 00057 | Loss 1.0275 | Accuracy 0.7840 Epoch 00058 | Loss 0.9857 | Accuracy 0.7860 Epoch 00059 | Loss 0.9765 | Accuracy 0.7880 Epoch 00060 | Loss 0.9401 | Accuracy 0.7900 Epoch 00061 | Loss 0.9453 | Accuracy 0.7880 Epoch 00062 | Loss 0.8869 | Accuracy 0.7840 Epoch 00063 | Loss 0.9030 | Accuracy 0.7860 Epoch 00064 | Loss 0.8550 | Accuracy 0.7840 Epoch 00065 | Loss 0.8777 | Accuracy 0.7860 Epoch 00066 | Loss 0.8541 | Accuracy 0.7900 Epoch 00067 | Loss 0.8516 | Accuracy 0.7940 Epoch 00068 | Loss 0.8367 | Accuracy 0.7960 Epoch 00069 | Loss 0.8029 | Accuracy 0.7920 Epoch 00070 | Loss 0.7629 | Accuracy 0.7900 Epoch 00071 | Loss 0.7553 | Accuracy 0.7900 Epoch 00072 | Loss 0.7698 | Accuracy 0.7900 Epoch 00073 | Loss 0.7771 | Accuracy 0.7940 Epoch 00074 | Loss 0.7637 | Accuracy 0.7940 Epoch 00075 | Loss 0.7436 | Accuracy 0.7940 Epoch 00076 | Loss 0.7229 | Accuracy 0.7940 Epoch 00077 | Loss 0.7319 | Accuracy 0.8000 Epoch 00078 | Loss 0.7199 | Accuracy 0.8000 Epoch 00079 | Loss 0.7429 | Accuracy 0.8020 Epoch 00080 | Loss 0.6835 | Accuracy 0.8000 Epoch 00081 | Loss 0.7134 | Accuracy 0.7960 Epoch 00082 | Loss 0.6948 | Accuracy 0.7920 Epoch 00083 | Loss 0.7135 | Accuracy 0.7880 Epoch 00084 | Loss 0.6648 | Accuracy 0.7860 Epoch 00085 | Loss 0.6212 | Accuracy 0.7840 Epoch 00086 | Loss 0.6142 | Accuracy 0.7860 Epoch 00087 | Loss 0.6055 | Accuracy 0.7880 Epoch 00088 | Loss 0.6340 | Accuracy 0.7880 Epoch 00089 | Loss 0.6470 | Accuracy 0.7920 Epoch 00090 | Loss 0.6420 | Accuracy 0.7900 Epoch 00091 | Loss 0.5971 | Accuracy 0.7920 Epoch 00092 | Loss 0.6173 | Accuracy 0.7960 Epoch 00093 | Loss 0.6089 | Accuracy 0.7960 Epoch 00094 | Loss 0.5890 | Accuracy 0.7940 Epoch 00095 | Loss 0.6213 | Accuracy 0.7960 Epoch 00096 | Loss 0.5820 | Accuracy 0.7920 Epoch 00097 | Loss 0.5693 | Accuracy 0.7860 Epoch 00098 | Loss 0.5700 | Accuracy 0.7860 Epoch 00099 | Loss 0.5777 | Accuracy 0.7820 Epoch 00100 | Loss 0.5439 | Accuracy 0.7780 Epoch 00101 | Loss 0.5784 | Accuracy 0.7780 Epoch 00102 | Loss 0.5169 | Accuracy 0.7820 Epoch 00103 | Loss 0.5510 | Accuracy 0.7860 Epoch 00104 | Loss 0.5424 | Accuracy 0.7940 Epoch 00105 | Loss 0.5290 | Accuracy 0.7940 Epoch 00106 | Loss 0.5345 | Accuracy 0.7940 Epoch 00107 | Loss 0.5445 | Accuracy 0.7960 Epoch 00108 | Loss 0.5243 | Accuracy 0.7940 Epoch 00109 | Loss 0.5312 | Accuracy 0.7940 Epoch 00110 | Loss 0.5311 | Accuracy 0.7920 Epoch 00111 | Loss 0.5110 | Accuracy 0.7880 Epoch 00112 | Loss 0.4980 | Accuracy 0.7860 Epoch 00113 | Loss 0.4841 | Accuracy 0.7840 Epoch 00114 | Loss 0.5049 | Accuracy 0.7860 Epoch 00115 | Loss 0.5046 | Accuracy 0.7860 Epoch 00116 | Loss 0.4688 | Accuracy 0.7900 Epoch 00117 | Loss 0.5015 | Accuracy 0.7900 Epoch 00118 | Loss 0.5200 | Accuracy 0.7940 Epoch 00119 | Loss 0.4795 | Accuracy 0.7900 Epoch 00120 | Loss 0.4592 | Accuracy 0.7920 Epoch 00121 | Loss 0.5079 | Accuracy 0.7940 Epoch 00122 | Loss 0.4520 | Accuracy 0.7960 Epoch 00123 | Loss 0.4117 | Accuracy 0.7960 Epoch 00124 | Loss 0.4523 | Accuracy 0.7940 Epoch 00125 | Loss 0.4734 | Accuracy 0.7940 Epoch 00126 | Loss 0.4882 | Accuracy 0.7880 Epoch 00127 | Loss 0.4682 | Accuracy 0.7860 Epoch 00128 | Loss 0.4630 | Accuracy 0.7840 Epoch 00129 | Loss 0.4861 | Accuracy 0.7840 Epoch 00130 | Loss 0.4156 | Accuracy 0.7840 Epoch 00131 | Loss 0.4343 | Accuracy 0.7840 Epoch 00132 | Loss 0.4111 | Accuracy 0.7860 Epoch 00133 | Loss 0.4282 | Accuracy 0.7900 Epoch 00134 | Loss 0.4862 | Accuracy 0.7940 Epoch 00135 | Loss 0.4523 | Accuracy 0.7960 Epoch 00136 | Loss 0.3927 | Accuracy 0.7960 Epoch 00137 | Loss 0.4528 | Accuracy 0.7940 Epoch 00138 | Loss 0.4484 | Accuracy 0.7900 Epoch 00139 | Loss 0.3889 | Accuracy 0.7860 Epoch 00140 | Loss 0.4002 | Accuracy 0.7840 Epoch 00141 | Loss 0.3846 | Accuracy 0.7820 Epoch 00142 | Loss 0.4540 | Accuracy 0.7820 Epoch 00143 | Loss 0.3936 | Accuracy 0.7840 Epoch 00144 | Loss 0.4473 | Accuracy 0.7820 Epoch 00145 | Loss 0.4188 | Accuracy 0.7820 Epoch 00146 | Loss 0.4020 | Accuracy 0.7800 Epoch 00147 | Loss 0.3967 | Accuracy 0.7820 Epoch 00148 | Loss 0.4099 | Accuracy 0.7800 Epoch 00149 | Loss 0.4046 | Accuracy 0.7860 Epoch 00150 | Loss 0.3796 | Accuracy 0.7900 Epoch 00151 | Loss 0.3929 | Accuracy 0.7940 Epoch 00152 | Loss 0.3957 | Accuracy 0.7920 Epoch 00153 | Loss 0.4002 | Accuracy 0.7880 Epoch 00154 | Loss 0.3777 | Accuracy 0.7840 Epoch 00155 | Loss 0.3914 | Accuracy 0.7800 Epoch 00156 | Loss 0.3978 | Accuracy 0.7820 Epoch 00157 | Loss 0.4248 | Accuracy 0.7840 Epoch 00158 | Loss 0.4017 | Accuracy 0.7880 Epoch 00159 | Loss 0.3863 | Accuracy 0.7820 Epoch 00160 | Loss 0.3698 | Accuracy 0.7780 Epoch 00161 | Loss 0.4024 | Accuracy 0.7840 Epoch 00162 | Loss 0.4052 | Accuracy 0.7840 Epoch 00163 | Loss 0.3751 | Accuracy 0.7860 Epoch 00164 | Loss 0.3897 | Accuracy 0.7860 Epoch 00165 | Loss 0.3910 | Accuracy 0.7900 Epoch 00166 | Loss 0.3965 | Accuracy 0.7920 Epoch 00167 | Loss 0.3784 | Accuracy 0.7920 Epoch 00168 | Loss 0.3685 | Accuracy 0.7920 Epoch 00169 | Loss 0.3844 | Accuracy 0.7900 Epoch 00170 | Loss 0.3603 | Accuracy 0.7900 Epoch 00171 | Loss 0.3634 | Accuracy 0.7840 Epoch 00172 | Loss 0.3511 | Accuracy 0.7840 Epoch 00173 | Loss 0.3703 | Accuracy 0.7840 Epoch 00174 | Loss 0.3796 | Accuracy 0.7840 Epoch 00175 | Loss 0.3733 | Accuracy 0.7820 Epoch 00176 | Loss 0.3451 | Accuracy 0.7860 Epoch 00177 | Loss 0.3814 | Accuracy 0.7920 Epoch 00178 | Loss 0.3235 | Accuracy 0.7920 Epoch 00179 | Loss 0.3529 | Accuracy 0.7920 Epoch 00180 | Loss 0.3600 | Accuracy 0.7940 Epoch 00181 | Loss 0.3776 | Accuracy 0.7960 Epoch 00182 | Loss 0.3764 | Accuracy 0.7940 Epoch 00183 | Loss 0.3830 | Accuracy 0.7920 Epoch 00184 | Loss 0.3546 | Accuracy 0.7920 Epoch 00185 | Loss 0.3697 | Accuracy 0.7860 Epoch 00186 | Loss 0.3440 | Accuracy 0.7860 Epoch 00187 | Loss 0.3537 | Accuracy 0.7840 Epoch 00188 | Loss 0.3235 | Accuracy 0.7880 Epoch 00189 | Loss 0.3164 | Accuracy 0.7920 Epoch 00190 | Loss 0.3431 | Accuracy 0.7920 Epoch 00191 | Loss 0.3535 | Accuracy 0.7920 Epoch 00192 | Loss 0.3152 | Accuracy 0.7920 Epoch 00193 | Loss 0.3652 | Accuracy 0.7920 Epoch 00194 | Loss 0.3459 | Accuracy 0.7920 Epoch 00195 | Loss 0.3578 | Accuracy 0.7900 Epoch 00196 | Loss 0.3139 | Accuracy 0.7920 Epoch 00197 | Loss 0.3342 | Accuracy 0.7900 Epoch 00198 | Loss 0.3148 | Accuracy 0.7880 Epoch 00199 | Loss 0.3511 | Accuracy 0.7880 Testing... Test accuracy 0.8170 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-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, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5633e-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, 6.1492e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5661e-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, 4.5619e-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, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! [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 44562853dfb4a096f74b63eb4e0bcb431cc71d7272ebd74e777f27de9411a205 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] $ docker rm -f 44562853dfb4a096f74b63eb4e0bcb431cc71d7272ebd74e777f27de9411a205 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4700 [Pipeline] // node PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] [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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] Cleaning workspace Fetching without tags Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] + 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 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-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.10 cat PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] $ docker top 21d59a84fc32c6e622ed2f60bf132578d00fc9326785f1d2fbded4ecc7b4b6a8 -eo pid,comm [Pipeline] { PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Unit test) PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] [Pipeline] sh + nvidia-smi Tue Oct 11 09:48:32 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 46C 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 | +-----------------------------------------------------------------------------+ PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] [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@7f584465; 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] Commit message: "Merge branch 'master' into part17_" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] [Pipeline] sh PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] + 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-4700/third_party/METIS'... > git clean -fdx # timeout=10 PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob 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 [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge 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 [ 47%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 48%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 48%] tests/pytorch/test_nn.py::test_twirls PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 48%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 48%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 48%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] Converting to homogeneous graph takes 0.011s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.849 GB [09:48:39] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152291 edge cuts Metis partitioning: 0.191 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.209s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.051 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.120s, peak mem: 1.849 GB part 0 has 9946 nodes of type n1 and 3134 are inside the partition part 0 has 9964 nodes of type n2 and 3143 are inside the partition part 0 has 9970 nodes of type n3 and 3143 are inside the partition part 0 has 47463 edges of type r1 and 31222 are inside the partition part 0 has 47762 edges of type r2 and 31391 are inside the partition part 0 has 47468 edges of type r3 and 31341 are inside the partition part 1 has 9970 nodes of type n1 and 3433 are inside the partition part 1 has 9982 nodes of type n2 and 3431 are inside the partition part 1 has 9987 nodes of type n3 and 3437 are inside the partition part 1 has 51658 edges of type r1 and 34555 are inside the partition part 1 has 51535 edges of type r2 and 34410 are inside the partition part 1 has 51718 edges of type r3 and 34507 are inside the partition part 2 has 9967 nodes of type n1 and 3433 are inside the partition part 2 has 9982 nodes of type n2 and 3436 are inside the partition part 2 has 9994 nodes of type n3 and 3440 are inside the partition part 2 has 51653 edges of type r1 and 34323 are inside the partition part 2 has 51857 edges of type r2 and 34399 are inside the partition part 2 has 51777 edges of type r3 and 34452 are inside the partition Save partitions: 0.052 seconds, peak memory: 1.849 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:40] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:40] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12582]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12585]... PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] server: #clients=5 /root/jenkins/workspace/dgl_PR-4700@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 [09:48:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:42] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12588]... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] [09:48:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] [09:48:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:48:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[09:48:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:48:44:] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc140:: Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [09:48:44[] 09:48:44/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] 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 [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 21%] 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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] Client [3009] waits on 172.17.0.5:55509 Client [3007] waits on 172.17.0.5:53417 Client [3008] waits on 172.17.0.5:40683 Client [3000] waits on 172.17.0.5:51455Client [3006] waits on 172.17.0.5:49377 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-4700@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 [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 51%]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] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] Client[3] in group[0] is exiting... PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int32] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] Client[0] in group[0] is exiting... 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] Client[4] in group[0] is exiting... PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] 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 [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] Server (2) shutdown. Server is exiting... Server (1) shutdown.Server (0) shutdown. Server is exiting...Server is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 60%] tests/distributed/test_new_kvstore.py::test_kv_store PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] /root/jenkins/workspace/dgl_PR-4700@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)`' [09:48:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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. /root/jenkins/workspace/dgl_PR-4700@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-4700@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)`' [09:48:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:52] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 5 seconds to test client re-connect. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] [09:48:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:28090]... [09:48:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:48:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:28089]... PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 53%]PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] Client [3097] waits on 172.17.0.5:52117 Client [3098] waits on 172.17.0.5:36403 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! ['data_0_1', 'data_0_3', 'data_0', 'data_2', 'data_1', 'data_0_2'] ['data_0_3', 'data_2', 'data_0_1', 'data_0', 'data_1', 'data_0_2'] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] add... PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] add... Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 62%] tests/distributed/test_new_kvstore.py::test_kv_multi_role PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/xbyak'... PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] 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-4700/third_party/METIS/GKlib'... PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] /root/jenkins/workspace/dgl_PR-4700@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)`' [09:49:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4700@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)`' [09:49:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:04] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19607]... 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 [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4700@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)`' [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:19606]... /root/jenkins/workspace/dgl_PR-4700@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)`' [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:05] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] 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-4700/third_party/tensorpipe/third_party/googletest'... [[09:49:06] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:49:06:] 140/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc: :Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [09:49:06] [/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:49:06:] 159/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc: :Receiver with NetType~159socket: is created.Receiver with NetType~ socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] Client [3153] waits on 172.17.0.5:56451 Client [3133] waits on 172.17.0.5:46975 Client [3146] waits on 172.17.0.5:38893 Client [3134] waits on 172.17.0.5:45967Client [3147] waits on 172.17.0.5:38813Client [3154] waits on 172.17.0.5:33189 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 (5) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! 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-4700/third_party/thrust/dependencies/cub'... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] 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-4700/third_party/tvm/3rdparty/dlpack'... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] [09:49:15] /root/jenkins/workspace/dgl_PR-4700/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 5000 milliseconds. [09:49:15] /root/jenkins/workspace/dgl_PR-4700/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 5000 milliseconds. [09:49:15] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 0 role: default trainer rank: 1, global rank: 1 Client[4] in group[0] is exiting...i: 1 role: default trainer rank: 0, global rank: 0 Client[3] in group[0] is exiting... Client[5] in group[0] is exiting... Client[2] in group[0] is exiting... Client[0] in group[0] is exiting...Client[1] in group[0] is exiting... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 64%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.849 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.849 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: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.849 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 part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.849 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: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.849 GB Save partitions: 0.001 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.849 GB Calculate edge assignment: 0.000 seconds part 0 has 667 nodes and 276 are inside the partition part 0 has 624 edges and 280 are inside the partition part 1 has 571 nodes and 229 are inside the partition part 1 has 486 edges and 203 are inside the partition part 2 has 622 nodes and 259 are inside the partition part 2 has 586 edges and 280 are inside the partition part 3 has 590 nodes and 236 are inside the partition part 3 has 527 edges and 237 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.849 GB part 0 has 641 nodes and 250 are inside the partition part 0 has 604 edges and 254 are inside the partition part 1 has 679 nodes and 288 are inside the partition part 1 has 637 edges and 290 are inside the partition part 2 has 602 nodes and 246 are inside the partition part 2 has 521 edges and 218 are inside the partition part 3 has 579 nodes and 216 are inside the partition part 3 has 536 edges and 238 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 271 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.849 GB part 0 has 376 nodes and 250 are inside the partition part 0 has 347 edges and 257 are inside the partition part 1 has 361 nodes and 248 are inside the partition part 1 has 339 edges and 252 are inside the partition part 2 has 374 nodes and 251 are inside the partition part 2 has 346 edges and 259 are inside the partition part 3 has 370 nodes and 251 are inside the partition part 3 has 315 edges and 232 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.849 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 66%] tests/distributed/test_partition.py::test_hetero_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.849 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: 1.849 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: 0.002 seconds, peak memory: 1.849 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 0.007 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.849 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: 1.849 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: 0.002 seconds, peak memory: 1.849 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.849 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: 0.006 seconds, peak memory: 1.849 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: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.010s, peak mem: 1.849 GB Save partitions: 0.002 seconds, peak memory: 1.849 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: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 1.849 GB Assigning nodes to METIS partitions takes 0.031s, peak mem: 1.849 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: 1.849 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: 0.006 seconds, peak memory: 1.849 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 [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] Converting to homogeneous graph takes 0.001s, peak mem: 1.849 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.849 GB part 0 has 551 nodes of type n1 and 240 are inside the partition part 0 has 540 nodes of type n2 and 236 are inside the partition part 0 has 557 nodes of type n3 and 268 are inside the partition part 0 has 415 edges of type r1 and 229 are inside the partition part 0 has 448 edges of type r2 and 270 are inside the partition part 0 has 449 edges of type r3 and 266 are inside the partition part 1 has 559 nodes of type n1 and 244 are inside the partition part 1 has 575 nodes of type n2 and 260 are inside the partition part 1 has 552 nodes of type n3 and 245 are inside the partition part 1 has 421 edges of type r1 and 249 are inside the partition part 1 has 452 edges of type r2 and 269 are inside the partition part 1 has 494 edges of type r3 and 297 are inside the partition part 2 has 554 nodes of type n1 and 248 are inside the partition part 2 has 552 nodes of type n2 and 258 are inside the partition part 2 has 562 nodes of type n3 and 263 are inside the partition part 2 has 434 edges of type r1 and 251 are inside the partition part 2 has 460 edges of type r2 and 251 are inside the partition part 2 has 437 edges of type r3 and 252 are inside the partition part 3 has 551 nodes of type n1 and 268 are inside the partition part 3 has 550 nodes of type n2 and 256 are inside the partition part 3 has 571 nodes of type n3 and 244 are inside the partition part 3 has 487 edges of type r1 and 281 are inside the partition part 3 has 435 edges of type r2 and 230 are inside the partition part 3 has 425 edges of type r3 and 215 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.849 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: 1.849 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.849 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.849 GB [09:49:18] /root/jenkins/workspace/dgl_PR-4700/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: 0.029 seconds, peak memory: 1.849 GB Assigning nodes to METIS partitions takes 0.031s, peak mem: 1.849 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: 1.849 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: 0.006 seconds, peak memory: 1.849 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 [ 67%] tests/distributed/test_partition.py::test_BasicPartitionBook PASSED [ 69%] tests/distributed/test_partition.py::test_RangePartitionBook PASSED [ 71%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] [09:49:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:19] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] Start server 0 [09:49:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:21850]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] 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tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-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-cugraph-linux [Pipeline] timeout Timeout set to expire in 15 min [Pipeline] { [Pipeline] sh PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] + bash tests/scripts/cugraph_unit_test.sh pytorch PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] 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tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] Collecting pytest Downloading pytest-7.1.3-py3-none-any.whl (298 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.2/298.2 kB 13.0 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) Collecting pydantic PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] 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[09:49:26] /root/jenkins/workspace/dgl_PR-4700/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [09:49:26] /root/jenkins/workspace/dgl_PR-4700/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [09:49:26] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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) Collecting pluggy<2.0,>=0.12 Downloading pluggy-1.0.0-py2.py3-none-any.whl (13 kB) Collecting tomli>=1.0.0 Downloading tomli-2.0.1-py3-none-any.whl (12 kB) 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) 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) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.7 MB/s eta 0:00:00 Collecting outdated>=0.2.0 Downloading outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (4.64.1) 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) PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%]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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.8/30.8 MB 75.3 MB/s eta 0:00:00 Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.26.11) PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] [09:49:27] /root/jenkins/workspace/dgl_PR-4700/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. 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Collecting littleutils Downloading littleutils-0.2.2.tar.gz (6.6 kB) Preparing metadata (setup.py): started PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] 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: scipy>=1.3.2 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.20.0->ogb) (1.9.1) 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) 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: idna<4,>=2.5 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) 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) PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] [09:49:27] /root/jenkins/workspace/dgl_PR-4700/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [09:49:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [09:49:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Building wheels for collected packages: littleutils Building wheel for littleutils (setup.py): started PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] 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=13670c6ed8a9171f8ef81f0e8525356d2da9113957897ffad031ef31d30fb46f Stored in directory: /root/.cache/pip/wheels/04/bb/0d/2d02ec45f29c48d6192476bfb59c5a0e64b605e7212374dd15 Successfully built littleutils PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] Installing collected packages: littleutils, iniconfig, tomli, threadpoolctl, pydantic, py, pluggy, isodate, attrs, scikit-learn, rdflib, pytest, outdated, ogb PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] 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[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] 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-4700 collecting ... PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] [09:49:31] /root/jenkins/workspace/dgl_PR-4700/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [09:49:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [09:49:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] Server (0) shutdown. Server is exiting... PASSED [ 73%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] Sleep 1 seconds to test client re-connect. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:28918]. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] Start server 0 [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:28918]... [09:49:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:28918]. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] [09:49:38] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:57885]. Client [3240] waits on 172.17.0.5:57885 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%]PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] [09:49:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [09:49:41] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] [09:49:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [09:49:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] [09:49:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/./queue.h:44: Times out for popping message after 500 milliseconds. [09:49:46] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] Server (0) shutdown. Server is exiting... PASSED [ 75%] tests/distributed/test_rpc.py::test_serialize PASSED [ 76%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 78%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] Sleep 1 seconds to test client re-connect. [09:49:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:49:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:49:50] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:16300]. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] Start server 0 [09:49:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:49:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:16300]... [09:49:51] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:16300]. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] [09:49:53] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:34569]. Client [3262] waits on 172.17.0.5:34569 PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 12.52s 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 20.95s ======================== tests/scripts/cugraph_unit_test.sh: line 21: 1076 Segmentation fault (core dumped) python3 -m pytest -v --junitxml=pytest_cugraph.xml --durations=20 tests/cugraph FAIL: cugraph [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] [Pipeline] // stage Post stage [Pipeline] cleanWs PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 21d59a84fc32c6e622ed2f60bf132578d00fc9326785f1d2fbded4ecc7b4b6a8 PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] $ docker rm -f 21d59a84fc32c6e622ed2f60bf132578d00fc9326785f1d2fbded4ecc7b4b6a8 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4700 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } Failed in branch PyTorch Cugraph GPU [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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 80%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] Cleaning workspace Fetching without tags PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:57] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc09:49:58:] 140/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc: :Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [09:49:58[] 09:49:58/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:58] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] [Pipeline] withEnv [Pipeline] { PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] [Pipeline] sh PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] + docker pull dgllib/dgl-ci-gpu:cu101_v220816 PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] Start server 0 [09:49:59] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:49:59] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12279]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] 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] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] [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-4700 -v /root/jenkins/workspace/dgl_PR-4700:/root/jenkins/workspace/dgl_PR-4700:rw,z -v /root/jenkins/workspace/dgl_PR-4700@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-gpu:cu101_v220816 cat PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] $ docker top 479f2446eddf1cb6e435092f495854f115d6ca6ed4c60cc980a88716eac7ebfe -eo pid,comm [Pipeline] { PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] [Pipeline] sh PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] + nvidia-smi Tue Oct 11 09:50:01 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 | +-----------------------------------------------------------------------------+ PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 68%] 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69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] [Pipeline] sh PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 69%] 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PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 70%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-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@1547aa96; 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 PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] Cleaning workspace PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] Fetching without tags PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700/.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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] [Pipeline] sh PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] + 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-4700/third_party/METIS'... PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] Client [3284] waits on 172.17.0.5:56725Client [3303] waits on 172.17.0.5:58267 Client [3295] waits on 172.17.0.5:51047Client [3293] waits on 172.17.0.5:56137 Client [3281] waits on 172.17.0.5:39233 Client [3290] waits on 172.17.0.5:36517Client [3288] waits on 172.17.0.5:37423 Client [3289] waits on 172.17.0.5:35581Client [3292] waits on 172.17.0.5:33557Client [3307] waits on 172.17.0.5:34821 Client [3285] waits on 172.17.0.5:39725 Client [3313] waits on 172.17.0.5:39571 Client [3294] waits on 172.17.0.5:40573 Client [3280] waits on 172.17.0.5:40815 Client [3300] waits on 172.17.0.5:41241Client [3287] waits on 172.17.0.5:43245 Client [3282] waits on 172.17.0.5:47489 Client [3291] waits on 172.17.0.5:50499 Client [3286] waits on 172.17.0.5:45167Client [3283] waits on 172.17.0.5:50729 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! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (4) 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 (8) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly!Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (12) 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 (11) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly!Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dlpack'... PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] Client[7] in group[0] is exiting... Client[3] in group[0] is exiting... Client[12] in group[0] is exiting... Client[19] in group[0] is exiting... Client[10] in group[0] is exiting... Client[5] in group[0] is exiting... Client[2] in group[0] is exiting... Client[18] in group[0] is exiting... Client[15] in group[0] is exiting... Client[13] in group[0] is exiting... Client[4] in group[0] is exiting... Client[9] in group[0] is exiting... Client[6] in group[0] is exiting... Client[11] in group[0] is exiting... Client[0] in group[0] is exiting... Client[17] in group[0] is exiting... Client[14] in group[0] is exiting... Client[16] in group[0] is exiting... Client[8] in group[0] is exiting... Client[1] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/dmlc-core'... PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/googletest'... PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] Server (0) shutdown. Server is exiting... PASSED [ 82%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/libxsmm'... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [[09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: 09:50:07Failed to connect to receiver[] tcp://172.17.0.5:11501/root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc].: 37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [[09:50:07] 09:50:07/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc159:: 140Receiver with NetType~: tensorpipeSender with NetType~ is created.tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: [Receiver with NetType~09:50:07tensorpipe] is created./root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc :37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. Sleep 1 seconds to test client re-connect. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:07] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:11501]. PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] Start server 0 [09:50:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:11501]... [09:50:08] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:11501]. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:52267]. [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:55587]. Client [3429] waits on 172.17.0.5:55587 Client [3434] waits on 172.17.0.5:52267 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108[: TPReceiver starts to wait on [09:50:10tcp://172.17.0.5:51615] ]./root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc :108: TPReceiver starts to wait on [tcp://172.17.0.5:52895]. Client [3453] waits on 172.17.0.5:51615 Client [3438] waits on 172.17.0.5:52895 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:44975]. Client [3444] waits on 172.17.0.5:44975 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:53415]. Client [3431] waits on 172.17.0.5:53415 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:39269]. Client [3436] waits on 172.17.0.5:39269 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:58507]. [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:59113]. Client [3442] waits on 172.17.0.5:58507 Client [3430] waits on 172.17.0.5:59113 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:54563]. Client [3437] waits on 172.17.0.5:54563 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:58831]. Client [3443] waits on 172.17.0.5:58831 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:59689]. Client [3432] waits on 172.17.0.5:59689 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:45389]. [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:58941]. Client [3440] waits on 172.17.0.5:45389 Client [3451] waits on 172.17.0.5:58941 PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:42823]. Client [3433] waits on 172.17.0.5:42823 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:35533]. Client [3435] waits on 172.17.0.5:35533 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:57799]. Client [3439] waits on 172.17.0.5:57799 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:59901]. Client [3446] waits on 172.17.0.5:59901 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:35751]. Client [3441] waits on 172.17.0.5:35751 [09:50:10] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:51027]. Client [3450] waits on 172.17.0.5:51027 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] PASSED [ 32%]PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] 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! 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 (8) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly!Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly!Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] Client[2] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] Client[0] in group[0] is exiting... Client[5] in group[0] is exiting... Client[7] in group[0] is exiting... Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... Client[1] in group[0] is exiting... Client[11] in group[0] is exiting... Client[14] in group[0] is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g0] Client[9] in group[0] is exiting... Client[8] in group[0] is exiting... Client[16] in group[0] is exiting... Client[17] in group[0] is exiting... Client[15] in group[0] is exiting... Client[19] in group[0] is exiting... Client[18] in group[0] is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] Client[13] in group[0] is exiting... Client[12] in group[0] is exiting... Client[6] in group[0] is exiting... Client[10] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [09:50:18] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:18] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] Start server 0 [09:50:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17467]... Start server 1 [09:50:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:20] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:17469]... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] Client [1085] waits on 172.17.0.5:34149 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... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe'... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 85%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [09:50:25] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:25] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:25] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:19482]. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/thrust'... PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] Start server 1 [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:19484]... [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:19484]. Start server 0 [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:19482]... [09:50:27] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:19482]. PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] [09:50:28] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:52193]. Client [1085] waits on 172.17.0.5:52193 PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] 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 [ 87%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 89%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [09:50:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:31] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] 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 [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/xbyak'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 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-4700/third_party/METIS/GKlib'... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] 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 [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] Sleep 1 seconds to test client re-connect. [09:50:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:35] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] 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' 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-4700/third_party/tensorpipe/third_party/googletest'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] 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] Start server 0 [09:50:36] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [09:50:36] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.5:12614]... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libnop'... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/libuv'... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tensorpipe/third_party/pybind11'... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] 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-4700/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] 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-4700/third_party/thrust/dependencies/cub'... PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] Client [3603] waits on 172.17.0.5:60285 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] Client[0] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] Server (0) shutdown. Server is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 91%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [09:50:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:43] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:17628]. Expected error: Failed to build conncetion with peer[172.17.0.5:17628] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] Sleep 1 seconds to test client re-connect. [09:50:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [09:50:44] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.5:17628]. PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] Start server 0 [09:50:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [09:50:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.5:17628]... [09:50:45] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:17628]. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] [09:50:47] /root/jenkins/workspace/dgl_PR-4700/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.5:38659]. Client [3619] waits on 172.17.0.5:38659 PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] 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-4700/third_party/tvm/3rdparty/dlpack'... PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/rang'... PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 76%]PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700/third_party/tvm/3rdparty/vta-hw'... Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] 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 [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] Client[0] in group[0] is exiting... PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/distributed/test_shared_mem_store.py::test_init SKIPPED (skip ...) [ 94%] tests/distributed/test_shared_mem_store.py::test_compute SKIPPED (sk...) [ 96%] 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@4/python/dgl/distributed/partition.py:578: 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-4700@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-4700@4/pytest_distributed.xml - ============================ slowest 100 durations ============================= 68.07s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 64.66s call tests/distributed/test_dist_graph_store.py::test_server_client 54.71s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 39.63s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 39.13s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 38.75s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 32.42s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 31.72s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 31.15s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 15.17s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 15.13s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 14.26s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 13.72s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 12.35s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 12.32s call tests/distributed/test_new_kvstore.py::test_kv_store 11.94s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] 11.86s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] 11.85s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] 11.83s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 11.81s call tests/distributed/test_dist_graph_store.py::test_split[True] 11.65s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 11.39s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 9.71s call tests/distributed/test_rpc.py::test_multi_client[socket] 8.86s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] 8.56s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 7.91s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] 7.85s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] 7.72s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 7.71s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] 7.69s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 6.45s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 6.34s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 6.30s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 5.38s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 5.37s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 0.75s call tests/distributed/test_dist_graph_store.py::test_split[False] 0.43s call tests/distributed/test_partition.py::test_hetero_partition 0.30s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.29s call tests/distributed/test_mp_dataloader.py::test_standalone 0.28s call tests/distributed/test_distributed_sampling.py::test_standalone_sampling 0.21s call tests/distributed/test_partition.py::test_partition 0.20s call tests/distributed/test_dist_graph_store.py::test_split_even 0.15s call tests/distributed/test_dist_graph_store.py::test_standalone 0.07s call tests/distributed/test_dist_graph_store.py::test_standalone_node_emb 0.03s 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 (53 durations < 0.005s hidden. Use -vv to show these durations.) ============ 50 passed, 6 skipped, 51 warnings in 665.72s (0:11:05) ============ PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-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-4700@4 collecting ... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] collected 37 items tests/tools/test_dist_part.py::test_chunk_graph[1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] Done with creating chunked graph PASSED [ 2%] tests/tools/test_dist_part.py::test_chunk_graph[8] Done with creating chunked graph PASSED [ 5%] tests/tools/test_dist_part.py::test_part_pipeline[1-1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] Done with creating chunked graph PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] INFO:root:Changing directory to /tmp/tmpxe640db5/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpxe640db5/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpxe640db5/parted_data --input-dir /tmp/tmpxe640db5/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpxe640db5/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpxe640db5/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpxe640db5/parted_data --input-dir /tmp/tmpxe640db5/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpxe640db5/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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-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-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh DGL backend not selected or invalid. Assuming PyTorch for now. [66436705fbf3 INFO 2022-10-11 09:50:56,151 PID:3671] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:50:56,151 PID:3671] Rank 0: Completed store-based barrier for 1 nodes. [66436705fbf3 INFO 2022-10-11 09:50:56,152 PID:3671] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:50:56,152 PID:3671] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:50:56,153 PID:3671] [Rank: 0] Reading file: /tmp/tmpxe640db5/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:50:56,162 PID:3671] [Rank: 0] Reading file: /tmp/tmpxe640db5/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:50:56,173 PID:3671] [Rank: 0] Reading file: /tmp/tmpxe640db5/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:50:56,179 PID:3671] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:50:56,179 PID:3671] Loading node feature[feat] of ntype[paper] from /tmp/tmpxe640db5/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,183 PID:3671] Loading node feature[label] of ntype[paper] from /tmp/tmpxe640db5/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,183 PID:3671] Loading node feature[year] of ntype[paper] from /tmp/tmpxe640db5/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxe640db5/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:50:56,184 PID:3671] Loading numpy from /tmp/tmpxe640db5/chunked-data/edge_data/paper:cites:paper/count-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,185 PID:3671] Loading numpy from /tmp/tmpxe640db5/chunked-data/edge_data/author:writes:paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,185 PID:3671] Loading numpy from /tmp/tmpxe640db5/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [66436705fbf3 INFO 2022-10-11 09:50:56,186 PID:3671] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [66436705fbf3 INFO 2022-10-11 09:50:56,186 PID:3671] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:50:56,186 PID:3671] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:50:56,186 PID:3671] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxe640db5/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:50:56,192 PID:3671] Loading edges of etype[author:writes:paper] from /tmp/tmpxe640db5/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:50:56,198 PID:3671] Loading edges of etype[paper:cites:paper] from /tmp/tmpxe640db5/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:50:56,206 PID:3671] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxe640db5/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:50:56,214 PID:3671] [Rank: 0] Done reading edge_file: 4, (50400,) [66436705fbf3 INFO 2022-10-11 09:50:56,214 PID:3671] [Rank: 0] Done reading dataset deom /tmp/tmpxe640db5/chunked-data [66436705fbf3 INFO 2022-10-11 09:50:56,278 PID:3671] [Rank: 0] Done augmenting edge_data: 6, (50400,) [66436705fbf3 INFO 2022-10-11 09:50:56,279 PID:3671] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:50:56,279 PID:3671] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:50:56,281 PID:3671] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:50:56,285 PID:3671] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:50:56,286 PID:3671] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:50:56,288 PID:3671] [Rank: 0] Total time for node feature exchange: 0:00:00.008586 [66436705fbf3 INFO 2022-10-11 09:50:56,288 PID:3671] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:50:56,288 PID:3671] [Rank: 0] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:50:56,321 PID:3671] [Rank: 0] processing node feature: author:writes:paper/year PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] + bash tests/scripts/task_unit_test.sh mxnet gpu [66436705fbf3 INFO 2022-10-11 09:50:56,355 PID:3671] [Rank: 0] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:50:56,380 PID:3671] [Rank: 0] Total time for node feature exchange: 0:00:00.092278 [66436705fbf3 INFO 2022-10-11 09:50:56,381 PID:3671] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:50:56,449 PID:3671] [Rank: 0] Time to send/rcv edge data: 0:00:00.026271 [66436705fbf3 INFO 2022-10-11 09:50:56,486 PID:3671] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:50:56,505 PID:3671] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:50:56,510 PID:3671] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:50:56,549 PID:3671] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:50:56,574 PID:3671] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [66436705fbf3 INFO 2022-10-11 09:50:56,574 PID:3671] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:50:56,575 PID:3671] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:50:56,633 PID:3671] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:50:56,791 PID:3671] There are 50400 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:50:56,820 PID:3671] [Rank: 0] Time to create dgl objects: 0:00:00.186855 [66436705fbf3 INFO 2022-10-11 09:50:56,820 PID:3671] [Rank: 0] Total execution time of the program: 0:00:00.668297 [66436705fbf3 INFO 2022-10-11 09:50:56,820 PID:3671] [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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] Requirement already satisfied: pytest in /opt/conda/envs/mxnet-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 12.5 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 46.1 MB/s eta 0:00:00 PASSED [ 8%] tests/tools/test_dist_part.py::test_part_pipeline[1-2] Done with creating chunked graph PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] 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 114.6 MB/s eta 0:00:00 PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 61.1 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 17.5 MB/s eta 0:00:00 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: packaging in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (21.3) 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: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (4.12.0) 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: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.1.1) 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: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Collecting pytz>=2017.2 Downloading pytz-2022.4-py2.py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.8/500.8 kB 68.5 MB/s eta 0:00:00 PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/mxnet-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 8.5 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] INFO:root:Changing directory to /tmp/tmpa9xakzx7/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpa9xakzx7/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpa9xakzx7/parted_data --input-dir /tmp/tmpa9xakzx7/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpa9xakzx7/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] (export DGL_IP_CONFIG=/tmp/tmpa9xakzx7/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpa9xakzx7/parted_data --input-dir /tmp/tmpa9xakzx7/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpa9xakzx7/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] [66436705fbf3 INFO 2022-10-11 09:51:00,489 PID:3846] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:00,490 PID:3846] Rank 0: Completed store-based barrier for 1 nodes. [66436705fbf3 INFO 2022-10-11 09:51:00,490 PID:3846] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:00,490 PID:3846] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:00,493 PID:3846] [Rank: 0] Reading file: /tmp/tmpa9xakzx7/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:00,513 PID:3846] [Rank: 0] Reading file: /tmp/tmpa9xakzx7/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:00,525 PID:3846] [Rank: 0] Reading file: /tmp/tmpa9xakzx7/parted_data/paper.txt PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] [66436705fbf3 INFO 2022-10-11 09:51:00,532 PID:3846] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:00,532 PID:3846] Loading node feature[feat] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:00,536 PID:3846] Loading node feature[feat] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:00,537 PID:3846] Loading node feature[label] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:00,537 PID:3846] Loading node feature[label] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:00,538 PID:3846] Loading node feature[year] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:00,538 PID:3846] Loading node feature[year] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:00,538 PID:3846] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa9xakzx7/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:00,539 PID:3846] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa9xakzx7/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:00,545 PID:3846] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa9xakzx7/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:00,551 PID:3846] Loading edges of etype[author:writes:paper] from /tmp/tmpa9xakzx7/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:00,556 PID:3846] Loading edges of etype[author:writes:paper] from /tmp/tmpa9xakzx7/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:00,562 PID:3846] Loading edges of etype[paper:cites:paper] from /tmp/tmpa9xakzx7/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:00,567 PID:3846] Loading edges of etype[paper:cites:paper] from /tmp/tmpa9xakzx7/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:00,574 PID:3846] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa9xakzx7/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:00,580 PID:3846] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa9xakzx7/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:00,592 PID:3846] [Rank: 0] Done reading edge_file: 4, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:00,592 PID:3846] [Rank: 0] Done reading dataset deom /tmp/tmpa9xakzx7/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:00,626 PID:3846] [Rank: 0] Done augmenting edge_data: 6, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:00,626 PID:3846] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:00,627 PID:3846] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:00,633 PID:3846] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:00,639 PID:3846] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:00,640 PID:3846] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:00,641 PID:3846] [Rank: 0] Total time for node feature exchange: 0:00:00.014587 [66436705fbf3 INFO 2022-10-11 09:51:00,642 PID:3846] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:00,642 PID:3846] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:00,642 PID:3846] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:00,647 PID:3846] [Rank: 0] Time to send/rcv edge data: 0:00:00.002186 [66436705fbf3 INFO 2022-10-11 09:51:00,677 PID:3846] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:00,696 PID:3846] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:00,697 PID:3846] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:00,724 PID:3846] [Rank: 0] Done assigning global_ids to edges ... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:51:00,794 PID:3846] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:00,978 PID:3846] There are 50400 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:01,013 PID:3846] [Rank: 0] Time to create dgl objects: 0:00:00.218272 [66436705fbf3 INFO 2022-10-11 09:51:01,013 PID:3846] [Rank: 0] Total execution time of the program: 0:00:00.522860 [66436705fbf3 INFO 2022-10-11 09:51:01,013 PID:3846] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 10%] tests/tools/test_dist_part.py::test_part_pipeline[1-3] Done with creating chunked graph PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] INFO:root:Changing directory to /tmp/tmpjdko9hjf/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpjdko9hjf/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpjdko9hjf/parted_data --input-dir /tmp/tmpjdko9hjf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpjdko9hjf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpjdko9hjf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpjdko9hjf/parted_data --input-dir /tmp/tmpjdko9hjf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpjdko9hjf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] [66436705fbf3 INFO 2022-10-11 09:51:04,769 PID:4019] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:04,769 PID:4019] Rank 0: Completed store-based barrier for 1 nodes. [66436705fbf3 INFO 2022-10-11 09:51:04,769 PID:4019] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:04,769 PID:4019] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:04,770 PID:4019] [Rank: 0] Reading file: /tmp/tmpjdko9hjf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:04,779 PID:4019] [Rank: 0] Reading file: /tmp/tmpjdko9hjf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:04,787 PID:4019] [Rank: 0] Reading file: /tmp/tmpjdko9hjf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:04,792 PID:4019] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:04,792 PID:4019] Loading node feature[feat] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:04,795 PID:4019] Loading node feature[feat] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:04,796 PID:4019] Loading node feature[feat] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:04,796 PID:4019] Loading node feature[label] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:04,796 PID:4019] Loading node feature[label] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:04,797 PID:4019] Loading node feature[label] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:04,797 PID:4019] Loading node feature[year] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:04,797 PID:4019] Loading node feature[year] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:04,797 PID:4019] Loading node feature[year] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpjdko9hjf/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:04,798 PID:4019] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:04,799 PID:4019] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:04,803 PID:4019] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:04,808 PID:4019] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:affiliated_with:institution2.txt PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.2 MB/s eta 0:00:00 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] [66436705fbf3 INFO 2022-10-11 09:51:04,813 PID:4019] Loading edges of etype[author:writes:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:04,820 PID:4019] Loading edges of etype[author:writes:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:04,824 PID:4019] Loading edges of etype[author:writes:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:04,832 PID:4019] Loading edges of etype[paper:cites:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:04,837 PID:4019] Loading edges of etype[paper:cites:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:04,849 PID:4019] Loading edges of etype[paper:cites:paper] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:04,854 PID:4019] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:04,861 PID:4019] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:04,866 PID:4019] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpjdko9hjf/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:04,872 PID:4019] [Rank: 0] Done reading edge_file: 4, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:04,872 PID:4019] [Rank: 0] Done reading dataset deom /tmp/tmpjdko9hjf/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:04,904 PID:4019] [Rank: 0] Done augmenting edge_data: 6, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:04,904 PID:4019] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:04,905 PID:4019] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:04,906 PID:4019] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:04,907 PID:4019] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:04,908 PID:4019] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:04,909 PID:4019] [Rank: 0] Total time for node feature exchange: 0:00:00.004580 [66436705fbf3 INFO 2022-10-11 09:51:04,909 PID:4019] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:04,910 PID:4019] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:04,910 PID:4019] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:04,919 PID:4019] [Rank: 0] Time to send/rcv edge data: 0:00:00.001821 [66436705fbf3 INFO 2022-10-11 09:51:04,943 PID:4019] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:04,960 PID:4019] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:04,961 PID:4019] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:04,986 PID:4019] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:05,018 PID:4019] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] [66436705fbf3 INFO 2022-10-11 09:51:05,187 PID:4019] There are 50400 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:05,227 PID:4019] [Rank: 0] Time to create dgl objects: 0:00:00.208889 [66436705fbf3 INFO 2022-10-11 09:51:05,227 PID:4019] [Rank: 0] Total execution time of the program: 0:00:00.458034 [66436705fbf3 INFO 2022-10-11 09:51:05,227 PID:4019] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 13%] tests/tools/test_dist_part.py::test_part_pipeline[1-4] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] Done with creating chunked graph PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] INFO:root:Changing directory to /tmp/tmpwiriijm0/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] 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) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.26.11) 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: six>=1.12.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.16.0) 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: 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) 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) 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/mxnet-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/mxnet-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/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpwiriijm0/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpwiriijm0/parted_data --input-dir /tmp/tmpwiriijm0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpwiriijm0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpwiriijm0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpwiriijm0/parted_data --input-dir /tmp/tmpwiriijm0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpwiriijm0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:51:08,989 PID:4194] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:08,989 PID:4194] Rank 0: Completed store-based barrier for 1 nodes. [66436705fbf3 INFO 2022-10-11 09:51:08,989 PID:4194] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:08,990 PID:4194] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:08,990 PID:4194] [Rank: 0] Reading file: /tmp/tmpwiriijm0/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:08,998 PID:4194] [Rank: 0] Reading file: /tmp/tmpwiriijm0/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:09,006 PID:4194] [Rank: 0] Reading file: /tmp/tmpwiriijm0/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:09,011 PID:4194] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:09,011 PID:4194] Loading node feature[feat] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:09,016 PID:4194] Loading node feature[feat] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:09,016 PID:4194] Loading node feature[feat] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:09,016 PID:4194] Loading node feature[feat] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:09,017 PID:4194] Loading node feature[label] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:09,017 PID:4194] Loading node feature[label] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:09,018 PID:4194] Loading node feature[label] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:09,018 PID:4194] Loading node feature[label] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:09,018 PID:4194] Loading node feature[year] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:09,019 PID:4194] Loading node feature[year] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:09,019 PID:4194] Loading node feature[year] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:09,019 PID:4194] Loading node feature[year] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:09,020 PID:4194] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:09,020 PID:4194] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:09,020 PID:4194] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:09,021 PID:4194] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpwiriijm0/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:09,021 PID:4194] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [66436705fbf3 INFO 2022-10-11 09:51:09,021 PID:4194] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:09,021 PID:4194] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:09,021 PID:4194] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:09,022 PID:4194] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:09,022 PID:4194] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:09,027 PID:4194] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:09,033 PID:4194] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:09,045 PID:4194] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:09,050 PID:4194] Loading edges of etype[author:writes:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:09,058 PID:4194] Loading edges of etype[author:writes:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:09,064 PID:4194] Loading edges of etype[author:writes:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:09,070 PID:4194] Loading edges of etype[author:writes:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:09,081 PID:4194] Loading edges of etype[paper:cites:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:09,089 PID:4194] Loading edges of etype[paper:cites:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:09,102 PID:4194] Loading edges of etype[paper:cites:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:09,107 PID:4194] Loading edges of etype[paper:cites:paper] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:09,113 PID:4194] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:09,121 PID:4194] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:09,130 PID:4194] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:09,146 PID:4194] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpwiriijm0/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:09,151 PID:4194] [Rank: 0] Done reading edge_file: 4, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:09,151 PID:4194] [Rank: 0] Done reading dataset deom /tmp/tmpwiriijm0/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:09,186 PID:4194] [Rank: 0] Done augmenting edge_data: 6, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:09,186 PID:4194] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:09,186 PID:4194] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:09,188 PID:4194] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:09,189 PID:4194] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:09,190 PID:4194] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:09,191 PID:4194] [Rank: 0] Total time for node feature exchange: 0:00:00.004931 [66436705fbf3 INFO 2022-10-11 09:51:09,191 PID:4194] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:09,191 PID:4194] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:09,191 PID:4194] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:09,196 PID:4194] [Rank: 0] Time to send/rcv edge data: 0:00:00.002277 [66436705fbf3 INFO 2022-10-11 09:51:09,227 PID:4194] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:09,245 PID:4194] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:09,247 PID:4194] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:09,274 PID:4194] [Rank: 0] Done assigning global_ids to edges ... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] [66436705fbf3 INFO 2022-10-11 09:51:09,399 PID:4194] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] [66436705fbf3 INFO 2022-10-11 09:51:09,586 PID:4194] There are 50400 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:09,610 PID:4194] [Rank: 0] Time to create dgl objects: 0:00:00.210588 [66436705fbf3 INFO 2022-10-11 09:51:09,611 PID:4194] [Rank: 0] Total execution time of the program: 0:00:00.621040 [66436705fbf3 INFO 2022-10-11 09:51:09,611 PID:4194] [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-shp3-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 16%] tests/tools/test_dist_part.py::test_part_pipeline[1-8] Done with creating chunked graph PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] INFO:root:Changing directory to /tmp/tmpau86v1vs/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpau86v1vs/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpau86v1vs/parted_data --input-dir /tmp/tmpau86v1vs/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpau86v1vs/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpau86v1vs/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpau86v1vs/parted_data --input-dir /tmp/tmpau86v1vs/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpau86v1vs/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] [66436705fbf3 INFO 2022-10-11 09:51:13,382 PID:4367] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:13,383 PID:4367] Rank 0: Completed store-based barrier for 1 nodes. [66436705fbf3 INFO 2022-10-11 09:51:13,383 PID:4367] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:13,383 PID:4367] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:13,386 PID:4367] [Rank: 0] Reading file: /tmp/tmpau86v1vs/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:13,400 PID:4367] [Rank: 0] Reading file: /tmp/tmpau86v1vs/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:13,411 PID:4367] [Rank: 0] Reading file: /tmp/tmpau86v1vs/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:13,426 PID:4367] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:13,426 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:13,435 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:13,436 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:13,437 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:13,437 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-4.npy [66436705fbf3 INFO 2022-10-11 09:51:13,438 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-5.npy [66436705fbf3 INFO 2022-10-11 09:51:13,438 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-6.npy [66436705fbf3 INFO 2022-10-11 09:51:13,439 PID:4367] Loading node feature[feat] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/feat-7.npy [66436705fbf3 INFO 2022-10-11 09:51:13,439 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:13,440 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:13,440 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:13,440 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:13,441 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-4.npy [66436705fbf3 INFO 2022-10-11 09:51:13,441 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-5.npy [66436705fbf3 INFO 2022-10-11 09:51:13,442 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-6.npy [66436705fbf3 INFO 2022-10-11 09:51:13,442 PID:4367] Loading node feature[label] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/label-7.npy [66436705fbf3 INFO 2022-10-11 09:51:13,442 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:13,443 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:13,443 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:13,443 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:13,444 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:51:13,444 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:51:13,444 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:51:13,445 PID:4367] Loading node feature[year] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:51:13,445 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:13,446 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:13,446 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:13,446 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:13,447 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-4.npy [66436705fbf3 INFO 2022-10-11 09:51:13,447 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-5.npy [66436705fbf3 INFO 2022-10-11 09:51:13,448 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-6.npy [66436705fbf3 INFO 2022-10-11 09:51:13,448 PID:4367] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpau86v1vs/chunked-data/node_data/paper/orig_ids-7.npy [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:13,449 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:13,455 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:13,462 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:13,471 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:13,477 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution4.txt [66436705fbf3 INFO 2022-10-11 09:51:13,484 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution5.txt [66436705fbf3 INFO 2022-10-11 09:51:13,493 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution6.txt [66436705fbf3 INFO 2022-10-11 09:51:13,497 PID:4367] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:affiliated_with:institution7.txt [66436705fbf3 INFO 2022-10-11 09:51:13,502 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:13,506 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:13,511 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:13,516 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:13,522 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:13,527 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:13,537 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:13,541 PID:4367] Loading edges of etype[author:writes:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/author:writes:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:13,546 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:13,551 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:13,555 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:13,560 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:13,564 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:13,568 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:13,572 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:13,577 PID:4367] Loading edges of etype[paper:cites:paper] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:cites:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:13,582 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:13,589 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:13,601 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:13,609 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:13,614 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author4.txt [66436705fbf3 INFO 2022-10-11 09:51:13,621 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author5.txt [66436705fbf3 INFO 2022-10-11 09:51:13,628 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author6.txt [66436705fbf3 INFO 2022-10-11 09:51:13,634 PID:4367] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpau86v1vs/chunked-data/edge_index/paper:rev_writes:author7.txt [66436705fbf3 INFO 2022-10-11 09:51:13,643 PID:4367] [Rank: 0] Done reading edge_file: 4, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:13,644 PID:4367] [Rank: 0] Done reading dataset deom /tmp/tmpau86v1vs/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:13,708 PID:4367] [Rank: 0] Done augmenting edge_data: 6, (50400,) [66436705fbf3 INFO 2022-10-11 09:51:13,708 PID:4367] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:13,709 PID:4367] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:13,721 PID:4367] [Rank: 0] processing node feature: paper/label PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] [66436705fbf3 INFO 2022-10-11 09:51:13,733 PID:4367] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:13,736 PID:4367] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:13,737 PID:4367] [Rank: 0] Total time for node feature exchange: 0:00:00.028191 [66436705fbf3 INFO 2022-10-11 09:51:13,737 PID:4367] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:13,737 PID:4367] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:13,737 PID:4367] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:13,751 PID:4367] [Rank: 0] Time to send/rcv edge data: 0:00:00.002308 [66436705fbf3 INFO 2022-10-11 09:51:13,781 PID:4367] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:13,802 PID:4367] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:13,802 PID:4367] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:13,841 PID:4367] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:13,927 PID:4367] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] [66436705fbf3 INFO 2022-10-11 09:51:14,086 PID:4367] There are 50400 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:14,183 PID:4367] [Rank: 0] Time to create dgl objects: 0:00:00.256477 [66436705fbf3 INFO 2022-10-11 09:51:14,183 PID:4367] [Rank: 0] Total execution time of the program: 0:00:00.800432 [Rank: 0 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:14,184 PID:4367] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] 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] Done with creating chunked graph PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] INFO:root:Changing directory to /tmp/tmp0_bgbx9_/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] 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] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp0_bgbx9_/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0_bgbx9_/parted_data --input-dir /tmp/tmp0_bgbx9_/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0_bgbx9_/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp0_bgbx9_/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0_bgbx9_/parted_data --input-dir /tmp/tmp0_bgbx9_/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0_bgbx9_/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp0_bgbx9_/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp0_bgbx9_/parted_data --input-dir /tmp/tmp0_bgbx9_/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmp0_bgbx9_/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. PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] 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] [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4560] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4557] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4560] Rank 1: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4560] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4557] Rank 0: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4557] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4557] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:18,003 PID:4560] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:18,004 PID:4557] [Rank: 0] Reading file: /tmp/tmp0_bgbx9_/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:18,004 PID:4560] [Rank: 1] Reading file: /tmp/tmp0_bgbx9_/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:18,013 PID:4560] [Rank: 1] Reading file: /tmp/tmp0_bgbx9_/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:18,016 PID:4557] [Rank: 0] Reading file: /tmp/tmp0_bgbx9_/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:18,021 PID:4560] [Rank: 1] Reading file: /tmp/tmp0_bgbx9_/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:18,027 PID:4560] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:18,027 PID:4560] Loading node feature[feat] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,032 PID:4560] Loading node feature[label] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,032 PID:4560] Loading node feature[year] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,033 PID:4560] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/paper:cites:paper/count-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,034 PID:4560] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/author:writes:paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,034 PID:4560] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:18,035 PID:4560] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:51:18,035 PID:4560] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:51:18,035 PID:4560] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:51:18,035 PID:4560] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:18,037 PID:4557] [Rank: 0] Reading file: /tmp/tmp0_bgbx9_/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:18,045 PID:4560] Loading edges of etype[author:writes:paper] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:18,048 PID:4557] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:18,049 PID:4557] Loading node feature[feat] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,052 PID:4560] Loading edges of etype[paper:cites:paper] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:18,056 PID:4557] Loading node feature[label] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,056 PID:4557] Loading node feature[year] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp0_bgbx9_/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:18,057 PID:4557] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/paper:cites:paper/count-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,059 PID:4560] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:18,058 PID:4557] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/author:writes:paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,058 PID:4557] Loading numpy from /tmp/tmp0_bgbx9_/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:18,059 PID:4557] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([12000]) [66436705fbf3 INFO 2022-10-11 09:51:18,059 PID:4557] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:51:18,059 PID:4557] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:51:18,059 PID:4557] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:18,066 PID:4560] [Rank: 1] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:18,066 PID:4560] [Rank: 1] Done reading dataset deom /tmp/tmp0_bgbx9_/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:18,071 PID:4557] Loading edges of etype[author:writes:paper] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:18,077 PID:4557] Loading edges of etype[paper:cites:paper] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:18,085 PID:4557] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp0_bgbx9_/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:18,090 PID:4557] [Rank: 0] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:18,090 PID:4557] [Rank: 0] Done reading dataset deom /tmp/tmp0_bgbx9_/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:18,138 PID:4557] [Rank: 0] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:18,138 PID:4557] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:18,138 PID:4560] [Rank: 1] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:18,138 PID:4560] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:18,139 PID:4557] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:18,139 PID:4560] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:18,237 PID:4557] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:18,237 PID:4560] [Rank: 1] processing node feature: paper/label PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] [66436705fbf3 INFO 2022-10-11 09:51:18,340 PID:4560] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:18,340 PID:4557] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:18,416 PID:4560] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:18,416 PID:4557] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:18,502 PID:4560] [Rank: 1] Total time for node feature exchange: 0:00:00.363669 [66436705fbf3 INFO 2022-10-11 09:51:18,502 PID:4557] [Rank: 0] Total time for node feature exchange: 0:00:00.363779 [66436705fbf3 INFO 2022-10-11 09:51:18,503 PID:4560] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:18,503 PID:4560] [Rank: 1] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:51:18,503 PID:4557] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:18,503 PID:4557] [Rank: 0] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:51:18,615 PID:4560] [Rank: 1] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:51:18,615 PID:4557] [Rank: 0] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:51:18,751 PID:4560] [Rank: 1] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:51:18,751 PID:4557] [Rank: 0] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:51:18,895 PID:4560] [Rank: 1] Total time for node feature exchange: 0:00:00.391882 [66436705fbf3 INFO 2022-10-11 09:51:18,895 PID:4557] [Rank: 0] Total time for node feature exchange: 0:00:00.391865 [66436705fbf3 INFO 2022-10-11 09:51:18,895 PID:4560] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:18,895 PID:4557] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:19,235 PID:4557] [Rank: 0] Time to send/rcv edge data: 0:00:00.133417 [66436705fbf3 INFO 2022-10-11 09:51:19,236 PID:4560] [Rank: 1] Time to send/rcv edge data: 0:00:00.134785 [66436705fbf3 INFO 2022-10-11 09:51:19,294 PID:4560] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:19,295 PID:4557] [Rank: 0] Done with data shuffling... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] [66436705fbf3 INFO 2022-10-11 09:51:19,321 PID:4560] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:19,323 PID:4557] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:19,324 PID:4557] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:19,324 PID:4560] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:19,357 PID:4560] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:19,357 PID:4557] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:19,418 PID:4557] [Rank: 0] key: paper:cites:paper/count v: torch.Size([12521]) [66436705fbf3 INFO 2022-10-11 09:51:19,418 PID:4557] [Rank: 0] key: author:writes:paper/year v: torch.Size([6069]) [66436705fbf3 INFO 2022-10-11 09:51:19,418 PID:4557] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([6087]) [66436705fbf3 INFO 2022-10-11 09:51:19,439 PID:4560] [Rank: 1] key: paper:cites:paper/count v: torch.Size([11479]) [66436705fbf3 INFO 2022-10-11 09:51:19,439 PID:4560] [Rank: 1] key: author:writes:paper/year v: torch.Size([5931]) [66436705fbf3 INFO 2022-10-11 09:51:19,439 PID:4560] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([5913]) PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] [66436705fbf3 INFO 2022-10-11 09:51:19,687 PID:4560] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:19,695 PID:4557] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:19,862 PID:4560] There are 24522 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:51:19,868 PID:4557] There are 25878 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:19,988 PID:4560] [Rank: 1] Time to create dgl objects: 0:00:00.300327 [66436705fbf3 INFO 2022-10-11 09:51:19,988 PID:4560] [Rank: 1] Total execution time of the program: 0:00:01.984881 [66436705fbf3 INFO 2022-10-11 09:51:19,988 PID:4557] [Rank: 0] Time to create dgl objects: 0:00:00.293317 [66436705fbf3 INFO 2022-10-11 09:51:19,989 PID:4560] [Rank: 1] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:51:19,989 PID:4557] [Rank: 0] Total execution time of the program: 0:00:01.985729 [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:19,989 PID:4557] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 24%] tests/tools/test_dist_part.py::test_part_pipeline[2-3] Done with creating chunked graph PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] INFO:root:Changing directory to /tmp/tmpukg2606d/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpukg2606d/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpukg2606d/parted_data --input-dir /tmp/tmpukg2606d/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpukg2606d/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpukg2606d/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpukg2606d/parted_data --input-dir /tmp/tmpukg2606d/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpukg2606d/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpukg2606d/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpukg2606d/parted_data --input-dir /tmp/tmpukg2606d/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpukg2606d/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] [66436705fbf3 INFO 2022-10-11 09:51:23,719 PID:4891] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4891] Rank 0: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4891] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4891] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:23,719 PID:4889] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4889] Rank 1: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4889] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:23,720 PID:4889] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:23,721 PID:4891] [Rank: 0] Reading file: /tmp/tmpukg2606d/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:23,721 PID:4889] [Rank: 1] Reading file: /tmp/tmpukg2606d/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:23,733 PID:4889] [Rank: 1] Reading file: /tmp/tmpukg2606d/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:23,733 PID:4891] [Rank: 0] Reading file: /tmp/tmpukg2606d/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:23,740 PID:4891] [Rank: 0] Reading file: /tmp/tmpukg2606d/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:23,741 PID:4889] [Rank: 1] Reading file: /tmp/tmpukg2606d/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:23,746 PID:4889] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:23,746 PID:4891] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:23,746 PID:4889] Loading node feature[feat] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:23,746 PID:4891] Loading node feature[feat] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:23,750 PID:4891] Loading node feature[feat] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:23,750 PID:4889] Loading node feature[label] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:23,750 PID:4891] Loading node feature[label] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:23,750 PID:4889] Loading node feature[year] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:23,750 PID:4891] Loading node feature[label] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4891] Loading node feature[year] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4891] Loading node feature[year] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4889] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpukg2606d/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:23,751 PID:4891] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpukg2606d/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([800, 3]) [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([800]) [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([800]) [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([800]) [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:23,752 PID:4891] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpukg2606d/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:23,758 PID:4889] Loading edges of etype[author:writes:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:23,759 PID:4891] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpukg2606d/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:23,766 PID:4891] Loading edges of etype[author:writes:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:23,766 PID:4889] Loading edges of etype[paper:cites:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:23,772 PID:4891] Loading edges of etype[author:writes:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:23,773 PID:4889] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:23,780 PID:4891] Loading edges of etype[paper:cites:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:23,780 PID:4889] [Rank: 1] Done reading edge_file: 4, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:23,780 PID:4889] [Rank: 1] Done reading dataset deom /tmp/tmpukg2606d/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:23,786 PID:4891] Loading edges of etype[paper:cites:paper] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:23,792 PID:4891] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:23,799 PID:4891] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpukg2606d/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:23,821 PID:4891] [Rank: 0] Done reading edge_file: 4, (33600,) [66436705fbf3 INFO 2022-10-11 09:51:23,821 PID:4891] [Rank: 0] Done reading dataset deom /tmp/tmpukg2606d/chunked-data PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] [66436705fbf3 INFO 2022-10-11 09:51:23,877 PID:4889] [Rank: 1] Done augmenting edge_data: 6, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:23,877 PID:4889] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:23,878 PID:4889] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:23,878 PID:4891] [Rank: 0] Done augmenting edge_data: 6, (33600,) [66436705fbf3 INFO 2022-10-11 09:51:23,878 PID:4891] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:23,879 PID:4891] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:23,977 PID:4891] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:23,977 PID:4889] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:24,084 PID:4889] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:24,084 PID:4891] [Rank: 0] processing node feature: paper/year PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] [66436705fbf3 INFO 2022-10-11 09:51:24,148 PID:4889] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:24,148 PID:4891] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4889] [Rank: 1] Total time for node feature exchange: 0:00:00.355000 [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4891] [Rank: 0] Total time for node feature exchange: 0:00:00.353831 [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4889] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4891] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4889] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4891] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4889] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:24,233 PID:4891] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:24,466 PID:4889] [Rank: 1] Time to send/rcv edge data: 0:00:00.045186 [66436705fbf3 INFO 2022-10-11 09:51:24,475 PID:4891] [Rank: 0] Time to send/rcv edge data: 0:00:00.054596 [66436705fbf3 INFO 2022-10-11 09:51:24,543 PID:4889] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:24,552 PID:4891] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:24,576 PID:4889] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:24,583 PID:4891] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:24,584 PID:4889] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:24,586 PID:4891] [Rank: 0] Done assigning global-ids to nodes... PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] [66436705fbf3 INFO 2022-10-11 09:51:24,621 PID:4891] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:24,623 PID:4889] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:24,876 PID:4891] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:24,882 PID:4889] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:25,069 PID:4891] There are 25987 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:25,071 PID:4889] There are 24413 edges in partition 1 PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g1] [66436705fbf3 INFO 2022-10-11 09:51:25,195 PID:4889] [Rank: 1] Time to create dgl objects: 0:00:00.312176 [66436705fbf3 INFO 2022-10-11 09:51:25,195 PID:4889] [Rank: 1] Total execution time of the program: 0:00:01.475304 [66436705fbf3 INFO 2022-10-11 09:51:25,196 PID:4889] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:25,196 PID:4891] [Rank: 0] Time to create dgl objects: 0:00:00.319384 [66436705fbf3 INFO 2022-10-11 09:51:25,196 PID:4891] [Rank: 0] Total execution time of the program: 0:00:01.476130 [Rank: 0 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:25,197 PID:4891] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 27%] tests/tools/test_dist_part.py::test_part_pipeline[2-4] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] Done with creating chunked graph PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] 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-shp5-g0] INFO:root:Changing directory to /tmp/tmplqf7d0v1/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmplqf7d0v1/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmplqf7d0v1/parted_data --input-dir /tmp/tmplqf7d0v1/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmplqf7d0v1/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmplqf7d0v1/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmplqf7d0v1/parted_data --input-dir /tmp/tmplqf7d0v1/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmplqf7d0v1/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmplqf7d0v1/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmplqf7d0v1/parted_data --input-dir /tmp/tmplqf7d0v1/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmplqf7d0v1/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] [66436705fbf3 INFO 2022-10-11 09:51:28,851 PID:5224] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:28,853 PID:5223] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:28,853 PID:5223] Rank 0: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:28,853 PID:5223] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:28,853 PID:5223] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:28,854 PID:5223] [Rank: 0] Reading file: /tmp/tmplqf7d0v1/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:28,861 PID:5224] Rank 1: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:28,862 PID:5224] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:28,862 PID:5224] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:28,863 PID:5224] [Rank: 1] Reading file: /tmp/tmplqf7d0v1/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:28,863 PID:5223] [Rank: 0] Reading file: /tmp/tmplqf7d0v1/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:28,875 PID:5223] [Rank: 0] Reading file: /tmp/tmplqf7d0v1/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:28,875 PID:5224] [Rank: 1] Reading file: /tmp/tmplqf7d0v1/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:28,882 PID:5223] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:28,882 PID:5223] Loading node feature[feat] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:28,883 PID:5224] [Rank: 1] Reading file: /tmp/tmplqf7d0v1/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:28,886 PID:5223] Loading node feature[feat] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:28,886 PID:5223] Loading node feature[label] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:28,886 PID:5223] Loading node feature[label] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:28,887 PID:5223] Loading node feature[year] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:28,887 PID:5223] Loading node feature[year] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:28,887 PID:5223] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:28,888 PID:5223] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:28,889 PID:5224] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:28,890 PID:5224] Loading node feature[feat] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:28,893 PID:5224] Loading node feature[feat] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:28,893 PID:5224] Loading node feature[label] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:28,893 PID:5224] Loading node feature[label] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:28,894 PID:5224] Loading node feature[year] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:28,894 PID:5224] Loading node feature[year] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:28,894 PID:5224] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:28,894 PID:5223] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmplqf7d0v1/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:28,895 PID:5224] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:28,907 PID:5224] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:28,909 PID:5223] Loading edges of etype[author:writes:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:28,914 PID:5224] Loading edges of etype[author:writes:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:28,922 PID:5223] Loading edges of etype[author:writes:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:28,922 PID:5224] Loading edges of etype[author:writes:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:28,930 PID:5223] Loading edges of etype[paper:cites:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:28,931 PID:5224] Loading edges of etype[paper:cites:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:28,936 PID:5223] Loading edges of etype[paper:cites:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:28,942 PID:5224] Loading edges of etype[paper:cites:paper] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:28,943 PID:5223] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:28,947 PID:5223] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:28,948 PID:5224] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:28,952 PID:5223] [Rank: 0] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:28,952 PID:5223] [Rank: 0] Done reading dataset deom /tmp/tmplqf7d0v1/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:28,957 PID:5224] Loading edges of etype[paper:rev_writes:author] from /tmp/tmplqf7d0v1/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:28,962 PID:5224] [Rank: 1] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:28,962 PID:5224] [Rank: 1] Done reading dataset deom /tmp/tmplqf7d0v1/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:29,042 PID:5224] [Rank: 1] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:29,042 PID:5224] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:29,043 PID:5224] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:29,042 PID:5223] [Rank: 0] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:29,043 PID:5223] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:29,043 PID:5223] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:29,143 PID:5224] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:29,152 PID:5223] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:29,255 PID:5224] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:29,255 PID:5223] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:29,344 PID:5224] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:29,345 PID:5223] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5223] [Rank: 0] Total time for node feature exchange: 0:00:00.384098 [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5224] [Rank: 1] Total time for node feature exchange: 0:00:00.384328 [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5224] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5223] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5224] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5223] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5224] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:29,427 PID:5223] [Rank: 0] Done with edge features exchange. 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-4700 collecting ... [66436705fbf3 INFO 2022-10-11 09:51:29,648 PID:5223] [Rank: 0] Time to send/rcv edge data: 0:00:00.112434 [66436705fbf3 INFO 2022-10-11 09:51:29,648 PID:5224] [Rank: 1] Time to send/rcv edge data: 0:00:00.112414 [66436705fbf3 INFO 2022-10-11 09:51:29,719 PID:5224] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:29,724 PID:5223] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:29,756 PID:5224] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:29,759 PID:5223] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:29,761 PID:5224] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:29,761 PID:5223] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:29,800 PID:5223] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:29,801 PID:5224] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:30,006 PID:5224] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:30,007 PID:5223] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] [66436705fbf3 INFO 2022-10-11 09:51:30,280 PID:5223] There are 25359 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:30,280 PID:5224] There are 25041 edges in partition 1 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] [66436705fbf3 INFO 2022-10-11 09:51:30,385 PID:5224] [Rank: 1] Time to create dgl objects: 0:00:00.378213 [66436705fbf3 INFO 2022-10-11 09:51:30,385 PID:5224] [Rank: 1] Total execution time of the program: 0:00:01.523276 [66436705fbf3 INFO 2022-10-11 09:51:30,385 PID:5224] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:30,386 PID:5223] [Rank: 0] Time to create dgl objects: 0:00:00.378446 [66436705fbf3 INFO 2022-10-11 09:51:30,386 PID:5223] [Rank: 0] Total execution time of the program: 0:00:01.532876 [66436705fbf3 INFO 2022-10-11 09:51:30,386 PID:5223] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 29%] tests/tools/test_dist_part.py::test_part_pipeline[2-8] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] Done with creating chunked graph PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] INFO:root:Changing directory to /tmp/tmpi9_k1x15/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpi9_k1x15/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpi9_k1x15/parted_data --input-dir /tmp/tmpi9_k1x15/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpi9_k1x15/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpi9_k1x15/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpi9_k1x15/parted_data --input-dir /tmp/tmpi9_k1x15/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpi9_k1x15/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpi9_k1x15/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpi9_k1x15/parted_data --input-dir /tmp/tmpi9_k1x15/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpi9_k1x15/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5557] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5557] Rank 0: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5554] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5554] Rank 1: Completed store-based barrier for 2 nodes. [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5557] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5557] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5554] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:34,091 PID:5554] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:34,092 PID:5557] [Rank: 0] Reading file: /tmp/tmpi9_k1x15/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:34,092 PID:5554] [Rank: 1] Reading file: /tmp/tmpi9_k1x15/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:34,100 PID:5554] [Rank: 1] Reading file: /tmp/tmpi9_k1x15/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:34,100 PID:5557] [Rank: 0] Reading file: /tmp/tmpi9_k1x15/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:34,107 PID:5554] [Rank: 1] Reading file: /tmp/tmpi9_k1x15/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:34,108 PID:5557] [Rank: 0] Reading file: /tmp/tmpi9_k1x15/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:34,114 PID:5554] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:34,114 PID:5554] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-4.npy [66436705fbf3 INFO 2022-10-11 09:51:34,114 PID:5557] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:34,114 PID:5557] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:34,118 PID:5554] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-5.npy [66436705fbf3 INFO 2022-10-11 09:51:34,118 PID:5554] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-6.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5554] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-7.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5554] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-4.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5554] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-5.npy [66436705fbf3 INFO 2022-10-11 09:51:34,118 PID:5557] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:34,118 PID:5557] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5557] Loading node feature[feat] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5557] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:34,119 PID:5557] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5557] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5557] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5554] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-6.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5554] Loading node feature[label] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/label-7.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5554] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5557] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:34,120 PID:5554] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5554] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5554] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5554] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-4.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5554] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-5.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5554] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-6.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5554] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-7.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5554] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5554] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5554] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5554] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5554] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5554] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution4.txt [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5557] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5557] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5557] Loading node feature[year] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:34,121 PID:5557] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5557] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5557] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:34,122 PID:5557] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpi9_k1x15/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:34,123 PID:5557] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:34,129 PID:5557] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:34,129 PID:5554] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution5.txt [66436705fbf3 INFO 2022-10-11 09:51:34,136 PID:5554] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution6.txt [66436705fbf3 INFO 2022-10-11 09:51:34,141 PID:5557] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:34,143 PID:5554] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution7.txt [66436705fbf3 INFO 2022-10-11 09:51:34,147 PID:5557] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:34,148 PID:5554] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:34,153 PID:5557] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:34,154 PID:5554] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:34,159 PID:5557] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:34,161 PID:5554] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:34,166 PID:5557] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:34,170 PID:5554] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:34,171 PID:5557] Loading edges of etype[author:writes:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:34,176 PID:5557] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:34,179 PID:5554] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:34,180 PID:5557] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:34,184 PID:5557] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:34,189 PID:5554] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:34,189 PID:5557] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:34,194 PID:5557] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:34,199 PID:5554] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:34,200 PID:5557] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:34,208 PID:5554] Loading edges of etype[paper:cites:paper] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:cites:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:34,216 PID:5557] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:34,216 PID:5554] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author4.txt [66436705fbf3 INFO 2022-10-11 09:51:34,223 PID:5554] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author5.txt [66436705fbf3 INFO 2022-10-11 09:51:34,225 PID:5557] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:34,229 PID:5554] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author6.txt [66436705fbf3 INFO 2022-10-11 09:51:34,233 PID:5557] [Rank: 0] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:34,233 PID:5557] [Rank: 0] Done reading dataset deom /tmp/tmpi9_k1x15/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:34,235 PID:5554] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpi9_k1x15/chunked-data/edge_index/paper:rev_writes:author7.txt [66436705fbf3 INFO 2022-10-11 09:51:34,241 PID:5554] [Rank: 1] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:34,241 PID:5554] [Rank: 1] Done reading dataset deom /tmp/tmpi9_k1x15/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:34,304 PID:5554] [Rank: 1] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:34,304 PID:5554] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:34,305 PID:5554] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:34,305 PID:5557] [Rank: 0] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:34,305 PID:5557] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:34,305 PID:5557] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:34,398 PID:5554] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:34,398 PID:5557] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:34,487 PID:5557] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:34,487 PID:5554] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:34,571 PID:5554] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:34,571 PID:5557] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5554] [Rank: 1] Total time for node feature exchange: 0:00:00.347071 [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5557] [Rank: 0] Total time for node feature exchange: 0:00:00.346583 [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5554] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5554] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5554] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5557] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5557] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:34,652 PID:5557] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:34,929 PID:5554] [Rank: 1] Time to send/rcv edge data: 0:00:00.127695 [66436705fbf3 INFO 2022-10-11 09:51:34,929 PID:5557] [Rank: 0] Time to send/rcv edge data: 0:00:00.127638 [66436705fbf3 INFO 2022-10-11 09:51:34,962 PID:5557] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:34,968 PID:5554] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:34,979 PID:5557] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:34,987 PID:5554] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:34,989 PID:5554] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:34,991 PID:5557] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:35,036 PID:5557] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:35,036 PID:5554] [Rank: 1] Done assigning global_ids to edges ... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] [66436705fbf3 INFO 2022-10-11 09:51:35,314 PID:5557] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:35,315 PID:5554] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:35,528 PID:5557] There are 24112 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:35,566 PID:5554] There are 26288 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:51:35,640 PID:5554] [Rank: 1] Time to create dgl objects: 0:00:00.325016 [66436705fbf3 INFO 2022-10-11 09:51:35,640 PID:5554] [Rank: 1] Total execution time of the program: 0:00:01.549148 [66436705fbf3 INFO 2022-10-11 09:51:35,640 PID:5557] [Rank: 0] Time to create dgl objects: 0:00:00.325954 [66436705fbf3 INFO 2022-10-11 09:51:35,641 PID:5557] [Rank: 0] Total execution time of the program: 0:00:01.549754 [66436705fbf3 INFO 2022-10-11 09:51:35,641 PID:5557] [Rank: 0] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:51:35,641 PID:5554] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 0 Edge data is already sorted !!! PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] INFO:root:Changing directory to /tmp/tmpw9adz1fq/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpw9adz1fq/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpw9adz1fq/parted_data --input-dir /tmp/tmpw9adz1fq/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpw9adz1fq/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpw9adz1fq/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpw9adz1fq/parted_data --input-dir /tmp/tmpw9adz1fq/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpw9adz1fq/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpw9adz1fq/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpw9adz1fq/parted_data --input-dir /tmp/tmpw9adz1fq/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpw9adz1fq/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpw9adz1fq/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpw9adz1fq/parted_data --input-dir /tmp/tmpw9adz1fq/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpw9adz1fq/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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] 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 [ 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] 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] 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 [ 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] [66436705fbf3 INFO 2022-10-11 09:51:39,987 PID:5903] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:40,002 PID:6033] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:51:40,002 PID:5902] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:40,002 PID:6033] Rank 2: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:40,002 PID:5902] Rank 1: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:6033] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:6033] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:5903] Rank 0: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:5903] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:5903] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:5902] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:40,012 PID:5902] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:40,013 PID:5903] [Rank: 0] Reading file: /tmp/tmpw9adz1fq/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:40,013 PID:5902] [Rank: 1] Reading file: /tmp/tmpw9adz1fq/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:40,013 PID:6033] [Rank: 2] Reading file: /tmp/tmpw9adz1fq/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:40,022 PID:6033] [Rank: 2] Reading file: /tmp/tmpw9adz1fq/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:40,022 PID:5902] [Rank: 1] Reading file: /tmp/tmpw9adz1fq/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:40,025 PID:5903] [Rank: 0] Reading file: /tmp/tmpw9adz1fq/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:40,030 PID:5902] [Rank: 1] Reading file: /tmp/tmpw9adz1fq/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:40,030 PID:6033] [Rank: 2] Reading file: /tmp/tmpw9adz1fq/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:40,032 PID:5903] [Rank: 0] Reading file: /tmp/tmpw9adz1fq/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:40,036 PID:5902] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:40,037 PID:5902] Loading node feature[feat] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,038 PID:6033] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:40,038 PID:6033] Loading node feature[feat] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,039 PID:5903] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:40,040 PID:5903] Loading node feature[feat] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,040 PID:5902] Loading node feature[label] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,041 PID:5902] Loading node feature[year] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,041 PID:5902] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:6033] Loading node feature[label] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:cites:paper/count-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:6033] Loading node feature[year] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:5902] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/author:writes:paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,042 PID:6033] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5902] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:cites:paper/count-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5902] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/author:writes:paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5902] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5902] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5903] Loading node feature[label] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:5902] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:40,043 PID:6033] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] Loading node feature[year] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:6033] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:6033] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:6033] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpw9adz1fq/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:6033] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,044 PID:5903] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [66436705fbf3 INFO 2022-10-11 09:51:40,045 PID:5903] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:cites:paper/count-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,045 PID:5903] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/author:writes:paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,045 PID:5903] Loading numpy from /tmp/tmpw9adz1fq/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:40,046 PID:5903] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [66436705fbf3 INFO 2022-10-11 09:51:40,046 PID:5903] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,046 PID:5903] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [66436705fbf3 INFO 2022-10-11 09:51:40,046 PID:5903] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:40,052 PID:5902] Loading edges of etype[author:writes:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:40,053 PID:5903] Loading edges of etype[author:writes:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:40,056 PID:6033] Loading edges of etype[author:writes:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:40,061 PID:5902] Loading edges of etype[paper:cites:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:40,062 PID:5903] Loading edges of etype[paper:cites:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:40,064 PID:6033] Loading edges of etype[paper:cites:paper] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:40,070 PID:5902] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:40,071 PID:5903] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:40,077 PID:6033] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpw9adz1fq/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:40,077 PID:5902] [Rank: 1] Done reading edge_file: 4, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,078 PID:5902] [Rank: 1] Done reading dataset deom /tmp/tmpw9adz1fq/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:40,083 PID:5903] [Rank: 0] Done reading edge_file: 4, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,084 PID:5903] [Rank: 0] Done reading dataset deom /tmp/tmpw9adz1fq/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:40,087 PID:6033] [Rank: 2] Done reading edge_file: 4, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,087 PID:6033] [Rank: 2] Done reading dataset deom /tmp/tmpw9adz1fq/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5903] [Rank: 0] Done augmenting edge_data: 6, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5903] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:6033] [Rank: 2] Done augmenting edge_data: 6, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:6033] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5902] [Rank: 1] Done augmenting edge_data: 6, (16800,) [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5902] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5903] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:6033] [Rank: 2] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:40,221 PID:5902] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:40,394 PID:5902] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:40,394 PID:5903] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:40,394 PID:6033] [Rank: 2] processing node feature: paper/label 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 [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] [66436705fbf3 INFO 2022-10-11 09:51:40,577 PID:5903] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:40,577 PID:6033] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:40,577 PID:5902] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:40,740 PID:5903] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:40,740 PID:5902] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:40,740 PID:6033] [Rank: 2] processing node feature: paper/orig_ids 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] [66436705fbf3 INFO 2022-10-11 09:51:40,898 PID:5903] [Rank: 0] Total time for node feature exchange: 0:00:00.676715 [66436705fbf3 INFO 2022-10-11 09:51:40,898 PID:5902] [Rank: 1] Total time for node feature exchange: 0:00:00.676605 [66436705fbf3 INFO 2022-10-11 09:51:40,898 PID:6033] [Rank: 2] Total time for node feature exchange: 0:00:00.676639 [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:5902] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:6033] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:6033] [Rank: 2] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:5902] [Rank: 1] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:5903] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:40,899 PID:5903] [Rank: 0] processing node feature: paper:cites:paper/count PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] 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] [66436705fbf3 INFO 2022-10-11 09:51:41,271 PID:5903] [Rank: 0] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:51:41,271 PID:6033] [Rank: 2] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:51:41,276 PID:5902] [Rank: 1] processing node feature: author:writes:paper/year 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 [ 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 PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] [66436705fbf3 INFO 2022-10-11 09:51:41,601 PID:6033] [Rank: 2] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:51:41,601 PID:5902] [Rank: 1] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:51:41,601 PID:5903] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] [66436705fbf3 INFO 2022-10-11 09:51:41,919 PID:5902] [Rank: 1] Total time for node feature exchange: 0:00:01.020825 [66436705fbf3 INFO 2022-10-11 09:51:41,919 PID:5903] [Rank: 0] Total time for node feature exchange: 0:00:01.020705 [66436705fbf3 INFO 2022-10-11 09:51:41,919 PID:6033] [Rank: 2] Total time for node feature exchange: 0:00:01.020789 [66436705fbf3 INFO 2022-10-11 09:51:41,919 PID:5903] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:41,920 PID:5902] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:41,920 PID:6033] [Rank: 2] Done with edge features exchange. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] [66436705fbf3 INFO 2022-10-11 09:51:42,278 PID:5903] [Rank: 0] Time to send/rcv edge data: 0:00:00.013560 [66436705fbf3 INFO 2022-10-11 09:51:42,279 PID:5902] [Rank: 1] Time to send/rcv edge data: 0:00:00.016088 [66436705fbf3 INFO 2022-10-11 09:51:42,279 PID:6033] [Rank: 2] Time to send/rcv edge data: 0:00:00.016098 [66436705fbf3 INFO 2022-10-11 09:51:42,331 PID:5903] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:42,329 PID:5902] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:42,332 PID:6033] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:42,357 PID:5902] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:42,363 PID:5903] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:42,366 PID:6033] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:42,367 PID:6033] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:42,372 PID:5902] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:42,372 PID:5903] [Rank: 0] Done assigning global-ids to nodes... PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] [66436705fbf3 INFO 2022-10-11 09:51:42,416 PID:5902] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:42,416 PID:6033] [Rank: 2] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:42,413 PID:5903] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:42,468 PID:5903] [Rank: 0] key: paper:cites:paper/count v: torch.Size([7407]) [66436705fbf3 INFO 2022-10-11 09:51:42,468 PID:5903] [Rank: 0] key: author:writes:paper/year v: torch.Size([3684]) [66436705fbf3 INFO 2022-10-11 09:51:42,468 PID:5903] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([4083]) [66436705fbf3 INFO 2022-10-11 09:51:42,473 PID:5902] [Rank: 1] key: paper:cites:paper/count v: torch.Size([7965]) [66436705fbf3 INFO 2022-10-11 09:51:42,473 PID:5902] [Rank: 1] key: author:writes:paper/year v: torch.Size([4021]) [66436705fbf3 INFO 2022-10-11 09:51:42,473 PID:5902] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3914]) [66436705fbf3 INFO 2022-10-11 09:51:42,501 PID:6033] [Rank: 2] key: paper:cites:paper/count v: torch.Size([8628]) [66436705fbf3 INFO 2022-10-11 09:51:42,501 PID:6033] [Rank: 2] key: author:writes:paper/year v: torch.Size([4295]) [66436705fbf3 INFO 2022-10-11 09:51:42,502 PID:6033] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([4003]) [66436705fbf3 INFO 2022-10-11 09:51:42,593 PID:5903] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:42,593 PID:6033] [Rank: 2] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:42,593 PID:5902] [Rank: 1] Done resolving orig_node_id for local node_ids... 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%] 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] [66436705fbf3 INFO 2022-10-11 09:51:42,826 PID:5902] There are 16761 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:51:42,848 PID:5903] There are 15870 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:42,860 PID:6033] There are 17769 edges in partition 2 PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:6033] [Rank: 2] Time to create dgl objects: 0:00:00.336433 [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:5903] [Rank: 0] Time to create dgl objects: 0:00:00.336526 [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:6033] [Rank: 2] Total execution time of the program: 0:00:02.918019 [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:5903] [Rank: 0] Total execution time of the program: 0:00:02.918077 [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:5903] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:42,929 PID:5902] [Rank: 1] Time to create dgl objects: 0:00:00.335588 [66436705fbf3 INFO 2022-10-11 09:51:42,929 PID:5902] [Rank: 1] Total execution time of the program: 0:00:02.917121 [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:5902] [Rank: 1] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:51:42,930 PID:6033] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 40%] tests/tools/test_dist_part.py::test_part_pipeline[3-4] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] Done with creating chunked graph PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] INFO:root:Changing directory to /tmp/tmp__y3haji/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] 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%] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp__y3haji/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp__y3haji/parted_data --input-dir /tmp/tmp__y3haji/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp__y3haji/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp__y3haji/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp__y3haji/parted_data --input-dir /tmp/tmp__y3haji/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp__y3haji/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp__y3haji/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp__y3haji/parted_data --input-dir /tmp/tmp__y3haji/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp__y3haji/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp__y3haji/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp__y3haji/parted_data --input-dir /tmp/tmp__y3haji/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmp__y3haji/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_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] 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 [ 8%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g0] 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] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g1] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] 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 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g0] PASSED [ 33%]PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] [66436705fbf3 INFO 2022-10-11 09:51:47,425 PID:6460] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:47,437 PID:6461] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:47,437 PID:6461] Rank 1: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:47,437 PID:6392] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:51:47,437 PID:6392] Rank 2: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:47,446 PID:6460] Rank 0: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:47,446 PID:6460] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:47,446 PID:6460] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:47,447 PID:6392] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:47,446 PID:6461] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:47,447 PID:6461] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:47,447 PID:6392] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:47,447 PID:6460] [Rank: 0] Reading file: /tmp/tmp__y3haji/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:47,448 PID:6392] [Rank: 2] Reading file: /tmp/tmp__y3haji/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:47,448 PID:6461] [Rank: 1] Reading file: /tmp/tmp__y3haji/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:47,456 PID:6460] [Rank: 0] Reading file: /tmp/tmp__y3haji/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:47,456 PID:6392] [Rank: 2] Reading file: /tmp/tmp__y3haji/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:47,461 PID:6461] [Rank: 1] Reading file: /tmp/tmp__y3haji/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:47,469 PID:6460] [Rank: 0] Reading file: /tmp/tmp__y3haji/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:47,469 PID:6392] [Rank: 2] Reading file: /tmp/tmp__y3haji/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:47,472 PID:6461] [Rank: 1] Reading file: /tmp/tmp__y3haji/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:47,476 PID:6460] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:47,476 PID:6460] Loading node feature[feat] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:47,478 PID:6392] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:47,478 PID:6392] Loading node feature[feat] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:47,480 PID:6460] Loading node feature[feat] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:47,480 PID:6460] Loading node feature[label] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:47,481 PID:6460] Loading node feature[label] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:47,481 PID:6460] Loading node feature[year] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:47,481 PID:6460] Loading node feature[year] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6392] Loading node feature[label] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6392] Loading node feature[year] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6460] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:47,482 PID:6392] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6460] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp__y3haji/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] [Rank: 2] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6461] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6392] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp__y3haji/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:47,483 PID:6461] Loading node feature[feat] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:47,487 PID:6461] Loading node feature[label] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:47,487 PID:6461] Loading node feature[year] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:47,488 PID:6461] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp__y3haji/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:47,488 PID:6461] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:51:47,488 PID:6461] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,488 PID:6461] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,488 PID:6461] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:47,489 PID:6461] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:47,489 PID:6461] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp__y3haji/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:47,490 PID:6460] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp__y3haji/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:47,493 PID:6392] Loading edges of etype[author:writes:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:47,497 PID:6460] Loading edges of etype[author:writes:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:47,498 PID:6461] Loading edges of etype[author:writes:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:47,502 PID:6392] Loading edges of etype[paper:cites:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:47,505 PID:6460] Loading edges of etype[author:writes:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:47,509 PID:6461] Loading edges of etype[paper:cites:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:47,509 PID:6392] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:47,512 PID:6460] Loading edges of etype[paper:cites:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:47,521 PID:6392] [Rank: 2] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:47,521 PID:6392] [Rank: 2] Done reading dataset deom /tmp/tmp__y3haji/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:47,522 PID:6461] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:47,523 PID:6460] Loading edges of etype[paper:cites:paper] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:47,534 PID:6461] [Rank: 1] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:47,535 PID:6460] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:47,535 PID:6461] [Rank: 1] Done reading dataset deom /tmp/tmp__y3haji/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:47,543 PID:6460] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp__y3haji/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:47,551 PID:6460] [Rank: 0] Done reading edge_file: 4, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:47,552 PID:6460] [Rank: 0] Done reading dataset deom /tmp/tmp__y3haji/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6461] [Rank: 1] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6461] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6461] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6392] [Rank: 2] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6392] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:47,670 PID:6392] [Rank: 2] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:47,671 PID:6460] [Rank: 0] Done augmenting edge_data: 6, (25200,) [66436705fbf3 INFO 2022-10-11 09:51:47,671 PID:6460] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:47,672 PID:6460] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:47,897 PID:6461] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:47,898 PID:6460] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:47,898 PID:6392] [Rank: 2] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:48,144 PID:6460] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:48,144 PID:6392] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:48,144 PID:6461] [Rank: 1] processing node feature: paper/year PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] [66436705fbf3 INFO 2022-10-11 09:51:48,387 PID:6460] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:48,387 PID:6461] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:48,387 PID:6392] [Rank: 2] processing node feature: paper/orig_ids PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6460] [Rank: 0] Total time for node feature exchange: 0:00:00.953420 [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6392] [Rank: 2] Total time for node feature exchange: 0:00:00.954690 [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6461] [Rank: 1] Total time for node feature exchange: 0:00:00.954830 [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6460] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6461] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6461] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6460] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6461] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:48,625 PID:6460] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:48,626 PID:6392] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:48,626 PID:6392] [Rank: 2] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:48,626 PID:6392] [Rank: 2] Done with edge features exchange. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] [66436705fbf3 INFO 2022-10-11 09:51:49,031 PID:6461] [Rank: 1] Time to send/rcv edge data: 0:00:00.098387 [66436705fbf3 INFO 2022-10-11 09:51:49,036 PID:6392] [Rank: 2] Time to send/rcv edge data: 0:00:00.104659 [66436705fbf3 INFO 2022-10-11 09:51:49,036 PID:6460] [Rank: 0] Time to send/rcv edge data: 0:00:00.104816 PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] [66436705fbf3 INFO 2022-10-11 09:51:49,112 PID:6461] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:49,132 PID:6460] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:49,138 PID:6461] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:49,139 PID:6392] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:49,171 PID:6460] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:49,177 PID:6392] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:49,177 PID:6392] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:49,177 PID:6460] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:49,177 PID:6461] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:49,217 PID:6460] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:49,220 PID:6461] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:49,223 PID:6392] [Rank: 2] Done assigning global_ids to edges ... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g0] [66436705fbf3 INFO 2022-10-11 09:51:49,344 PID:6392] [Rank: 2] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:49,344 PID:6461] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:49,344 PID:6460] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:49,558 PID:6392] There are 17130 edges in partition 2 [66436705fbf3 INFO 2022-10-11 09:51:49,581 PID:6461] There are 16564 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:51:49,637 PID:6460] There are 16706 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:49,663 PID:6392] [Rank: 2] Time to create dgl objects: 0:00:00.319525 [66436705fbf3 INFO 2022-10-11 09:51:49,664 PID:6392] [Rank: 2] Total execution time of the program: 0:00:02.217127 [66436705fbf3 INFO 2022-10-11 09:51:49,664 PID:6392] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:49,666 PID:6461] [Rank: 1] Time to create dgl objects: 0:00:00.322456 [66436705fbf3 INFO 2022-10-11 09:51:49,667 PID:6461] [Rank: 1] Total execution time of the program: 0:00:02.220271 [66436705fbf3 INFO 2022-10-11 09:51:49,667 PID:6461] [Rank: 1] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:51:49,667 PID:6460] [Rank: 0] Time to create dgl objects: 0:00:00.323096 [66436705fbf3 INFO 2022-10-11 09:51:49,667 PID:6460] [Rank: 0] Total execution time of the program: 0:00:02.221079 [66436705fbf3 INFO 2022-10-11 09:51:49,668 PID:6460] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 43%] tests/tools/test_dist_part.py::test_part_pipeline[3-8] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] Done with creating chunked graph PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] INFO:root:Changing directory to /tmp/tmpq15i4uye/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpq15i4uye/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpq15i4uye/parted_data --input-dir /tmp/tmpq15i4uye/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpq15i4uye/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpq15i4uye/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpq15i4uye/parted_data --input-dir /tmp/tmpq15i4uye/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpq15i4uye/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpq15i4uye/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpq15i4uye/parted_data --input-dir /tmp/tmpq15i4uye/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpq15i4uye/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpq15i4uye/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpq15i4uye/parted_data --input-dir /tmp/tmpq15i4uye/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpq15i4uye/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] [66436705fbf3 INFO 2022-10-11 09:51:54,121 PID:6885] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:51:54,134 PID:6886] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:51:54,134 PID:6886] Rank 2: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:54,134 PID:6888] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:51:54,134 PID:6888] Rank 1: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6885] Rank 0: Completed store-based barrier for 3 nodes. [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6885] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6885] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6888] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6886] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6888] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:54,144 PID:6886] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:51:54,145 PID:6885] [Rank: 0] Reading file: /tmp/tmpq15i4uye/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:54,145 PID:6886] [Rank: 2] Reading file: /tmp/tmpq15i4uye/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:54,145 PID:6888] [Rank: 1] Reading file: /tmp/tmpq15i4uye/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:51:54,155 PID:6885] [Rank: 0] Reading file: /tmp/tmpq15i4uye/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:54,155 PID:6886] [Rank: 2] Reading file: /tmp/tmpq15i4uye/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:54,156 PID:6888] [Rank: 1] Reading file: /tmp/tmpq15i4uye/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:51:54,162 PID:6886] [Rank: 2] Reading file: /tmp/tmpq15i4uye/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:54,162 PID:6885] [Rank: 0] Reading file: /tmp/tmpq15i4uye/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:54,170 PID:6886] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:54,170 PID:6885] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:54,170 PID:6886] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-6.npy [66436705fbf3 INFO 2022-10-11 09:51:54,170 PID:6885] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:51:54,167 PID:6888] [Rank: 1] Reading file: /tmp/tmpq15i4uye/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:51:54,174 PID:6885] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:51:54,174 PID:6886] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-7.npy [66436705fbf3 INFO 2022-10-11 09:51:54,174 PID:6885] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:51:54,174 PID:6886] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-6.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6885] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6885] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6886] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-7.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6886] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6886] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6885] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:51:54,175 PID:6886] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-6.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-7.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6885] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6885] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6885] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6885] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] [Rank: 2] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:54,176 PID:6886] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution6.txt [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6888] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6888] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,177 PID:6885] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,178 PID:6885] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:54,178 PID:6885] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:51:54,181 PID:6888] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-4.npy [66436705fbf3 INFO 2022-10-11 09:51:54,181 PID:6888] Loading node feature[feat] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/feat-5.npy [66436705fbf3 INFO 2022-10-11 09:51:54,182 PID:6888] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:51:54,182 PID:6888] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-4.npy [66436705fbf3 INFO 2022-10-11 09:51:54,182 PID:6888] Loading node feature[label] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/label-5.npy [66436705fbf3 INFO 2022-10-11 09:51:54,182 PID:6888] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:51:54,183 PID:6888] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:51:54,183 PID:6888] Loading node feature[year] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:51:54,183 PID:6888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:51:54,183 PID:6888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-4.npy [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpq15i4uye/chunked-data/node_data/paper/orig_ids-5.npy [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6886] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution7.txt [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:51:54,184 PID:6888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:51:54,185 PID:6885] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:51:54,191 PID:6886] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:54,194 PID:6885] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:51:54,195 PID:6888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution4.txt [66436705fbf3 INFO 2022-10-11 09:51:54,199 PID:6886] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:54,204 PID:6888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:affiliated_with:institution5.txt [66436705fbf3 INFO 2022-10-11 09:51:54,206 PID:6885] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:54,206 PID:6886] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper6.txt [66436705fbf3 INFO 2022-10-11 09:51:54,214 PID:6885] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:54,214 PID:6886] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper7.txt [66436705fbf3 INFO 2022-10-11 09:51:54,214 PID:6888] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:54,221 PID:6885] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:54,224 PID:6888] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:54,228 PID:6885] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:51:54,229 PID:6886] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author6.txt [66436705fbf3 INFO 2022-10-11 09:51:54,233 PID:6888] Loading edges of etype[author:writes:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/author:writes:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:54,235 PID:6885] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:51:54,242 PID:6886] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author7.txt [66436705fbf3 INFO 2022-10-11 09:51:54,242 PID:6885] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:51:54,242 PID:6888] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:51:54,251 PID:6888] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper4.txt [66436705fbf3 INFO 2022-10-11 09:51:54,252 PID:6886] [Rank: 2] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:54,253 PID:6886] [Rank: 2] Done reading dataset deom /tmp/tmpq15i4uye/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:54,260 PID:6885] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:51:54,260 PID:6888] Loading edges of etype[paper:cites:paper] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:cites:paper5.txt [66436705fbf3 INFO 2022-10-11 09:51:54,270 PID:6888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:51:54,281 PID:6888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author4.txt [66436705fbf3 INFO 2022-10-11 09:51:54,289 PID:6885] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:51:54,293 PID:6888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author5.txt [66436705fbf3 INFO 2022-10-11 09:51:54,298 PID:6888] [Rank: 1] Done reading edge_file: 4, (18900,) [66436705fbf3 INFO 2022-10-11 09:51:54,298 PID:6888] [Rank: 1] Done reading dataset deom /tmp/tmpq15i4uye/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:54,302 PID:6885] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpq15i4uye/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:51:54,313 PID:6885] [Rank: 0] Done reading edge_file: 4, (18900,) [66436705fbf3 INFO 2022-10-11 09:51:54,313 PID:6885] [Rank: 0] Done reading dataset deom /tmp/tmpq15i4uye/chunked-data [66436705fbf3 INFO 2022-10-11 09:51:54,424 PID:6886] [Rank: 2] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:51:54,424 PID:6886] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:54,424 PID:6888] [Rank: 1] Done augmenting edge_data: 6, (18900,) [66436705fbf3 INFO 2022-10-11 09:51:54,425 PID:6888] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:54,425 PID:6886] [Rank: 2] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:54,427 PID:6888] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:54,424 PID:6885] [Rank: 0] Done augmenting edge_data: 6, (18900,) [66436705fbf3 INFO 2022-10-11 09:51:54,425 PID:6885] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:51:54,425 PID:6885] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:51:54,683 PID:6886] [Rank: 2] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:54,683 PID:6885] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:54,683 PID:6888] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:51:54,941 PID:6885] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:54,941 PID:6886] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:51:54,941 PID:6888] [Rank: 1] processing node feature: paper/year PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] [66436705fbf3 INFO 2022-10-11 09:51:55,143 PID:6888] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:55,143 PID:6885] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:55,143 PID:6886] [Rank: 2] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6888] [Rank: 1] Total time for node feature exchange: 0:00:00.913458 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6886] [Rank: 2] Total time for node feature exchange: 0:00:00.916070 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6885] [Rank: 0] Total time for node feature exchange: 0:00:00.915653 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6888] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6886] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6888] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6886] [Rank: 2] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6888] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6886] [Rank: 2] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6885] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6885] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:51:55,341 PID:6885] [Rank: 0] Done with edge features exchange. PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g0] [66436705fbf3 INFO 2022-10-11 09:51:55,813 PID:6886] [Rank: 2] Time to send/rcv edge data: 0:00:00.132035 [66436705fbf3 INFO 2022-10-11 09:51:55,813 PID:6885] [Rank: 0] Time to send/rcv edge data: 0:00:00.132014 [66436705fbf3 INFO 2022-10-11 09:51:55,813 PID:6888] [Rank: 1] Time to send/rcv edge data: 0:00:00.131964 [66436705fbf3 INFO 2022-10-11 09:51:55,856 PID:6888] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:55,868 PID:6886] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:55,872 PID:6885] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:51:55,880 PID:6888] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:55,885 PID:6886] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:55,906 PID:6885] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:51:55,912 PID:6885] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:55,912 PID:6886] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:55,915 PID:6888] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:51:55,946 PID:6886] [Rank: 2] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:55,946 PID:6888] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:55,946 PID:6885] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:51:56,049 PID:6885] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:56,049 PID:6888] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:51:56,049 PID:6886] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] [66436705fbf3 INFO 2022-10-11 09:51:56,213 PID:6885] There are 15678 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:51:56,253 PID:6886] There are 17928 edges in partition 2 PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] [66436705fbf3 INFO 2022-10-11 09:51:56,332 PID:6888] There are 16794 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:51:56,351 PID:6888] [Rank: 1] Time to create dgl objects: 0:00:00.301188 [66436705fbf3 INFO 2022-10-11 09:51:56,351 PID:6886] [Rank: 2] Time to create dgl objects: 0:00:00.301599 [66436705fbf3 INFO 2022-10-11 09:51:56,352 PID:6886] [Rank: 2] Total execution time of the program: 0:00:02.207885 [66436705fbf3 INFO 2022-10-11 09:51:56,352 PID:6888] [Rank: 1] Total execution time of the program: 0:00:02.208007 [66436705fbf3 INFO 2022-10-11 09:51:56,353 PID:6886] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:56,353 PID:6888] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:51:56,354 PID:6885] [Rank: 0] Time to create dgl objects: 0:00:00.304310 [66436705fbf3 INFO 2022-10-11 09:51:56,355 PID:6885] [Rank: 0] Total execution time of the program: 0:00:02.210929 [66436705fbf3 INFO 2022-10-11 09:51:56,356 PID:6885] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g0] Done with creating chunked graph PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] 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] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] 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%]PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] INFO:root:Changing directory to /tmp/tmpj94ns3ck/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] 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] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] PASSED [ 16%] 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%] 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] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpj94ns3ck/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpj94ns3ck/parted_data --input-dir /tmp/tmpj94ns3ck/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpj94ns3ck/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpj94ns3ck/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpj94ns3ck/parted_data --input-dir /tmp/tmpj94ns3ck/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpj94ns3ck/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpj94ns3ck/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpj94ns3ck/parted_data --input-dir /tmp/tmpj94ns3ck/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpj94ns3ck/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpj94ns3ck/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpj94ns3ck/parted_data --input-dir /tmp/tmpj94ns3ck/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpj94ns3ck/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpj94ns3ck/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpj94ns3ck/parted_data --input-dir /tmp/tmpj94ns3ck/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpj94ns3ck/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 [ 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] 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 [ 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g0] 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 [ 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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] 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] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] [66436705fbf3 INFO 2022-10-11 09:52:00,037 PID:7627] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:52:00,048 PID:7625] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:52:00,060 PID:7629] Added key: store_based_barrier_key:1 to store for rank: 3 [66436705fbf3 INFO 2022-10-11 09:52:00,060 PID:7629] Rank 3: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:00,060 PID:7555] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:52:00,060 PID:7555] Rank 2: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:00,070 PID:7625] Rank 1: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:00,070 PID:7627] Rank 0: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:00,070 PID:7627] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:00,070 PID:7627] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:00,071 PID:7627] [Rank: 0] Reading file: /tmp/tmpj94ns3ck/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7555] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7625] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7625] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7629] [Rank: 3] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7629] [Rank: 3] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:00,072 PID:7555] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:00,073 PID:7625] [Rank: 1] Reading file: /tmp/tmpj94ns3ck/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:00,073 PID:7555] [Rank: 2] Reading file: /tmp/tmpj94ns3ck/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:00,073 PID:7629] [Rank: 3] Reading file: /tmp/tmpj94ns3ck/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:00,081 PID:7627] [Rank: 0] Reading file: /tmp/tmpj94ns3ck/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:00,086 PID:7555] [Rank: 2] Reading file: /tmp/tmpj94ns3ck/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:00,086 PID:7629] [Rank: 3] Reading file: /tmp/tmpj94ns3ck/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:00,086 PID:7625] [Rank: 1] Reading file: /tmp/tmpj94ns3ck/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:00,088 PID:7627] [Rank: 0] Reading file: /tmp/tmpj94ns3ck/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:00,094 PID:7627] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:00,094 PID:7627] Loading node feature[feat] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,098 PID:7627] Loading node feature[label] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,098 PID:7627] Loading node feature[year] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,099 PID:7627] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:cites:paper/count-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,100 PID:7627] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/author:writes:paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,100 PID:7629] [Rank: 3] Reading file: /tmp/tmpj94ns3ck/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:00,100 PID:7627] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:00,101 PID:7627] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:52:00,101 PID:7627] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,101 PID:7627] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,101 PID:7627] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:52:00,100 PID:7555] [Rank: 2] Reading file: /tmp/tmpj94ns3ck/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:00,100 PID:7625] [Rank: 1] Reading file: /tmp/tmpj94ns3ck/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:00,106 PID:7627] Loading edges of etype[author:writes:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:00,110 PID:7629] [Rank: 3] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:00,110 PID:7629] Loading node feature[feat] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,110 PID:7627] Loading edges of etype[paper:cites:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:00,111 PID:7625] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:00,112 PID:7625] Loading node feature[feat] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,113 PID:7555] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:00,113 PID:7555] Loading node feature[feat] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,114 PID:7629] Loading node feature[label] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,114 PID:7629] Loading node feature[year] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,114 PID:7629] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:cites:paper/count-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7627] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7625] Loading node feature[label] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,115 PID:7629] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/author:writes:paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7629] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] Loading node feature[year] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7629] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7629] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7629] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7629] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7625] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:cites:paper/count-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,116 PID:7555] Loading node feature[label] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/author:writes:paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] Loading node feature[year] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpj94ns3ck/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7555] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:cites:paper/count-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,117 PID:7625] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/author:writes:paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] Loading numpy from /tmp/tmpj94ns3ck/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:00,118 PID:7555] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:52:00,119 PID:7627] [Rank: 0] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,119 PID:7627] [Rank: 0] Done reading dataset deom /tmp/tmpj94ns3ck/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:00,125 PID:7629] Loading edges of etype[author:writes:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:00,126 PID:7625] Loading edges of etype[author:writes:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:00,127 PID:7555] Loading edges of etype[author:writes:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:00,134 PID:7629] Loading edges of etype[paper:cites:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:00,135 PID:7625] Loading edges of etype[paper:cites:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:00,136 PID:7555] Loading edges of etype[paper:cites:paper] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:00,145 PID:7625] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:52:00,145 PID:7555] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:52:00,146 PID:7629] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpj94ns3ck/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:52:00,153 PID:7625] [Rank: 1] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,153 PID:7625] [Rank: 1] Done reading dataset deom /tmp/tmpj94ns3ck/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:00,154 PID:7555] [Rank: 2] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,154 PID:7555] [Rank: 2] Done reading dataset deom /tmp/tmpj94ns3ck/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:00,158 PID:7629] [Rank: 3] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,158 PID:7629] [Rank: 3] Done reading dataset deom /tmp/tmpj94ns3ck/chunked-data PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler [66436705fbf3 INFO 2022-10-11 09:52:00,326 PID:7627] [Rank: 0] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,326 PID:7627] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:00,327 PID:7627] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:00,326 PID:7625] [Rank: 1] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,326 PID:7625] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:00,327 PID:7625] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:00,333 PID:7629] [Rank: 3] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,333 PID:7629] [Rank: 3] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:00,334 PID:7629] [Rank: 3] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:00,344 PID:7555] [Rank: 2] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:00,344 PID:7555] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:00,344 PID:7555] [Rank: 2] processing node feature: paper/feat PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [66436705fbf3 INFO 2022-10-11 09:52:00,636 PID:7555] [Rank: 2] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:00,636 PID:7625] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:00,636 PID:7629] [Rank: 3] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:00,636 PID:7627] [Rank: 0] processing node feature: paper/label 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 [66436705fbf3 INFO 2022-10-11 09:52:00,965 PID:7627] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:00,965 PID:7629] [Rank: 3] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:00,969 PID:7555] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:00,965 PID:7625] [Rank: 1] processing node feature: paper/year PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:52:01,242 PID:7627] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:01,242 PID:7625] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:01,242 PID:7555] [Rank: 2] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:01,242 PID:7629] [Rank: 3] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7625] [Rank: 1] Total time for node feature exchange: 0:00:01.260209 [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7629] [Rank: 3] Total time for node feature exchange: 0:00:01.253538 [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7627] [Rank: 0] Total time for node feature exchange: 0:00:01.260190 [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7555] [Rank: 2] Total time for node feature exchange: 0:00:01.242973 [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7629] [Rank: 3] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7555] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7625] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7627] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7629] [Rank: 3] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7555] [Rank: 2] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7627] [Rank: 0] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:01,587 PID:7625] [Rank: 1] processing node feature: paper:cites:paper/count PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] [66436705fbf3 INFO 2022-10-11 09:52:02,353 PID:7625] [Rank: 1] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:52:02,353 PID:7629] [Rank: 3] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:52:02,353 PID:7555] [Rank: 2] processing node feature: author:writes:paper/year [66436705fbf3 INFO 2022-10-11 09:52:02,361 PID:7627] [Rank: 0] processing node feature: author:writes:paper/year PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] [66436705fbf3 INFO 2022-10-11 09:52:03,018 PID:7625] [Rank: 1] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:03,018 PID:7629] [Rank: 3] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:03,018 PID:7555] [Rank: 2] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:03,018 PID:7627] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7555] [Rank: 2] Total time for node feature exchange: 0:00:02.150322 [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7629] [Rank: 3] Total time for node feature exchange: 0:00:02.150316 [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7625] [Rank: 1] Total time for node feature exchange: 0:00:02.150320 [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7627] [Rank: 0] Total time for node feature exchange: 0:00:02.150311 [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7629] [Rank: 3] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7555] [Rank: 2] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7625] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:03,738 PID:7627] [Rank: 0] Done with edge features exchange. PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] [66436705fbf3 INFO 2022-10-11 09:52:04,325 PID:7627] [Rank: 0] Time to send/rcv edge data: 0:00:00.006797 [66436705fbf3 INFO 2022-10-11 09:52:04,325 PID:7555] [Rank: 2] Time to send/rcv edge data: 0:00:00.006782 [66436705fbf3 INFO 2022-10-11 09:52:04,325 PID:7625] [Rank: 1] Time to send/rcv edge data: 0:00:00.006830 [66436705fbf3 INFO 2022-10-11 09:52:04,325 PID:7629] [Rank: 3] Time to send/rcv edge data: 0:00:00.006533 [66436705fbf3 INFO 2022-10-11 09:52:04,394 PID:7555] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:04,394 PID:7629] [Rank: 3] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:04,395 PID:7625] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:04,395 PID:7627] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:04,421 PID:7627] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:04,425 PID:7625] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:04,427 PID:7555] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:04,429 PID:7629] [Rank: 3] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:04,433 PID:7627] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:04,433 PID:7555] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:04,437 PID:7629] [Rank: 3] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:04,437 PID:7625] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:04,471 PID:7627] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:04,471 PID:7629] [Rank: 3] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:04,471 PID:7555] [Rank: 2] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:04,471 PID:7625] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:04,488 PID:7555] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6065]) [66436705fbf3 INFO 2022-10-11 09:52:04,488 PID:7555] [Rank: 2] key: author:writes:paper/year v: torch.Size([2935]) [66436705fbf3 INFO 2022-10-11 09:52:04,488 PID:7555] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2737]) [66436705fbf3 INFO 2022-10-11 09:52:04,497 PID:7625] [Rank: 1] key: paper:cites:paper/count v: torch.Size([5754]) [66436705fbf3 INFO 2022-10-11 09:52:04,499 PID:7625] [Rank: 1] key: author:writes:paper/year v: torch.Size([2941]) [66436705fbf3 INFO 2022-10-11 09:52:04,499 PID:7625] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([2974]) [66436705fbf3 INFO 2022-10-11 09:52:04,516 PID:7629] [Rank: 3] key: paper:cites:paper/count v: torch.Size([5864]) [66436705fbf3 INFO 2022-10-11 09:52:04,516 PID:7629] [Rank: 3] key: author:writes:paper/year v: torch.Size([2955]) [66436705fbf3 INFO 2022-10-11 09:52:04,516 PID:7629] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([3086]) [66436705fbf3 INFO 2022-10-11 09:52:04,529 PID:7627] [Rank: 0] key: paper:cites:paper/count v: torch.Size([6317]) [66436705fbf3 INFO 2022-10-11 09:52:04,529 PID:7627] [Rank: 0] key: author:writes:paper/year v: torch.Size([3169]) [66436705fbf3 INFO 2022-10-11 09:52:04,529 PID:7627] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3203]) PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] [66436705fbf3 INFO 2022-10-11 09:52:04,744 PID:7629] [Rank: 3] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:04,744 PID:7625] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:04,744 PID:7627] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:04,745 PID:7555] [Rank: 2] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:04,945 PID:7627] There are 13281 edges in partition 0 PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] [66436705fbf3 INFO 2022-10-11 09:52:05,044 PID:7629] There are 12468 edges in partition 3 [66436705fbf3 INFO 2022-10-11 09:52:05,048 PID:7625] There are 12311 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:52:05,081 PID:7555] There are 12340 edges in partition 2 [66436705fbf3 INFO 2022-10-11 09:52:05,168 PID:7625] [Rank: 1] Time to create dgl objects: 0:00:00.424040 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7629] [Rank: 3] Time to create dgl objects: 0:00:00.423986 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7625] [Rank: 1] Total execution time of the program: 0:00:05.096883 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7555] [Rank: 2] Time to create dgl objects: 0:00:00.423810 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7629] [Rank: 3] Total execution time of the program: 0:00:05.097026 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7625] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7555] [Rank: 2] Total execution time of the program: 0:00:05.097226 [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7629] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:05,169 PID:7555] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:05,170 PID:7627] [Rank: 0] Time to create dgl objects: 0:00:00.425105 [66436705fbf3 INFO 2022-10-11 09:52:05,170 PID:7627] [Rank: 0] Total execution time of the program: 0:00:05.099993 [66436705fbf3 INFO 2022-10-11 09:52:05,170 PID:7627] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 56%] tests/tools/test_dist_part.py::test_part_pipeline[4-8] Done with creating chunked graph PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] INFO:root:Changing directory to /tmp/tmp7bgjj4fg/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp7bgjj4fg/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp7bgjj4fg/parted_data --input-dir /tmp/tmp7bgjj4fg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp7bgjj4fg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] (export DGL_IP_CONFIG=/tmp/tmp7bgjj4fg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp7bgjj4fg/parted_data --input-dir /tmp/tmp7bgjj4fg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp7bgjj4fg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp7bgjj4fg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp7bgjj4fg/parted_data --input-dir /tmp/tmp7bgjj4fg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp7bgjj4fg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp7bgjj4fg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp7bgjj4fg/parted_data --input-dir /tmp/tmp7bgjj4fg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp7bgjj4fg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp7bgjj4fg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp7bgjj4fg/parted_data --input-dir /tmp/tmp7bgjj4fg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp7bgjj4fg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] [66436705fbf3 INFO 2022-10-11 09:52:09,701 PID:8277] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:52:09,711 PID:8278] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:52:09,722 PID:8274] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:52:09,722 PID:8274] Rank 2: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:09,722 PID:8206] Added key: store_based_barrier_key:1 to store for rank: 3 [66436705fbf3 INFO 2022-10-11 09:52:09,722 PID:8206] Rank 3: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:09,735 PID:8277] Rank 0: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:09,735 PID:8277] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:09,735 PID:8277] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8277] [Rank: 0] Reading file: /tmp/tmp7bgjj4fg/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8206] [Rank: 3] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8206] [Rank: 3] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8274] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8274] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:09,735 PID:8278] Rank 1: Completed store-based barrier for 4 nodes. [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8278] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:09,736 PID:8278] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:09,737 PID:8206] [Rank: 3] Reading file: /tmp/tmp7bgjj4fg/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:09,737 PID:8274] [Rank: 2] Reading file: /tmp/tmp7bgjj4fg/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:09,737 PID:8278] [Rank: 1] Reading file: /tmp/tmp7bgjj4fg/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:09,746 PID:8206] [Rank: 3] Reading file: /tmp/tmp7bgjj4fg/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:09,746 PID:8278] [Rank: 1] Reading file: /tmp/tmp7bgjj4fg/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:09,746 PID:8274] [Rank: 2] Reading file: /tmp/tmp7bgjj4fg/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:09,747 PID:8277] [Rank: 0] Reading file: /tmp/tmp7bgjj4fg/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:09,753 PID:8206] [Rank: 3] Reading file: /tmp/tmp7bgjj4fg/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:09,754 PID:8278] [Rank: 1] Reading file: /tmp/tmp7bgjj4fg/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:09,755 PID:8274] [Rank: 2] Reading file: /tmp/tmp7bgjj4fg/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:09,758 PID:8277] [Rank: 0] Reading file: /tmp/tmp7bgjj4fg/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:09,761 PID:8206] [Rank: 3] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:09,761 PID:8206] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-6.npy [66436705fbf3 INFO 2022-10-11 09:52:09,761 PID:8278] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:09,762 PID:8278] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:52:09,763 PID:8274] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:09,763 PID:8274] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-4.npy [66436705fbf3 INFO 2022-10-11 09:52:09,764 PID:8277] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:09,764 PID:8277] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:52:09,765 PID:8206] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-7.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8274] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-5.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8274] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-4.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8274] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-5.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8274] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8274] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8274] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-4.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8274] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-5.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8277] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:52:09,765 PID:8206] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-6.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8206] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-7.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8206] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8206] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8206] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-6.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-7.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] [Rank: 3] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8206] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution6.txt [66436705fbf3 INFO 2022-10-11 09:52:09,765 PID:8278] Loading node feature[feat] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8278] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8278] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:52:09,766 PID:8278] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8278] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8278] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:52:09,767 PID:8278] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] [Rank: 1] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:52:09,768 PID:8278] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] [Rank: 2] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8274] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution4.txt [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8277] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8277] Loading node feature[label] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:52:09,769 PID:8277] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:09,770 PID:8277] Loading node feature[year] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:09,770 PID:8277] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:52:09,771 PID:8277] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp7bgjj4fg/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:52:09,771 PID:8277] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [66436705fbf3 INFO 2022-10-11 09:52:09,771 PID:8277] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,771 PID:8277] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,771 PID:8277] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [66436705fbf3 INFO 2022-10-11 09:52:09,772 PID:8277] [Rank: 0] This dataset does not have any edge features [66436705fbf3 INFO 2022-10-11 09:52:09,772 PID:8277] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:52:09,777 PID:8278] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:52:09,778 PID:8277] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:52:09,778 PID:8274] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution5.txt [66436705fbf3 INFO 2022-10-11 09:52:09,778 PID:8206] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:affiliated_with:institution7.txt [66436705fbf3 INFO 2022-10-11 09:52:09,785 PID:8277] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:09,785 PID:8206] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper6.txt [66436705fbf3 INFO 2022-10-11 09:52:09,790 PID:8278] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:09,791 PID:8277] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:09,792 PID:8206] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper7.txt [66436705fbf3 INFO 2022-10-11 09:52:09,793 PID:8274] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper4.txt [66436705fbf3 INFO 2022-10-11 09:52:09,799 PID:8277] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:09,797 PID:8206] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper6.txt [66436705fbf3 INFO 2022-10-11 09:52:09,801 PID:8278] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:09,805 PID:8206] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper7.txt [66436705fbf3 INFO 2022-10-11 09:52:09,805 PID:8274] Loading edges of etype[author:writes:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/author:writes:paper5.txt [66436705fbf3 INFO 2022-10-11 09:52:09,809 PID:8277] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:09,810 PID:8278] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:09,810 PID:8206] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author6.txt [66436705fbf3 INFO 2022-10-11 09:52:09,816 PID:8277] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:52:09,815 PID:8274] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper4.txt [66436705fbf3 INFO 2022-10-11 09:52:09,818 PID:8278] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:09,819 PID:8206] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author7.txt [66436705fbf3 INFO 2022-10-11 09:52:09,823 PID:8277] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:52:09,827 PID:8278] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:52:09,829 PID:8274] Loading edges of etype[paper:cites:paper] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:cites:paper5.txt [66436705fbf3 INFO 2022-10-11 09:52:09,830 PID:8206] [Rank: 3] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:09,830 PID:8206] [Rank: 3] Done reading dataset deom /tmp/tmp7bgjj4fg/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:09,831 PID:8277] [Rank: 0] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:09,831 PID:8277] [Rank: 0] Done reading dataset deom /tmp/tmp7bgjj4fg/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:09,834 PID:8278] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:52:09,839 PID:8274] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author4.txt [66436705fbf3 INFO 2022-10-11 09:52:09,840 PID:8278] [Rank: 1] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:09,841 PID:8278] [Rank: 1] Done reading dataset deom /tmp/tmp7bgjj4fg/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:09,850 PID:8274] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp7bgjj4fg/chunked-data/edge_index/paper:rev_writes:author5.txt [66436705fbf3 INFO 2022-10-11 09:52:09,863 PID:8274] [Rank: 2] Done reading edge_file: 4, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:09,863 PID:8274] [Rank: 2] Done reading dataset deom /tmp/tmp7bgjj4fg/chunked-data PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8277] [Rank: 0] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8274] [Rank: 2] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8274] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8277] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8206] [Rank: 3] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8206] [Rank: 3] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8277] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8274] [Rank: 2] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8278] [Rank: 1] Done augmenting edge_data: 6, (12600,) [66436705fbf3 INFO 2022-10-11 09:52:10,082 PID:8278] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:10,092 PID:8278] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:10,083 PID:8206] [Rank: 3] processing node feature: paper/feat PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] [66436705fbf3 INFO 2022-10-11 09:52:10,396 PID:8278] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:10,396 PID:8274] [Rank: 2] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:10,396 PID:8277] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:10,396 PID:8206] [Rank: 3] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:10,714 PID:8278] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:10,714 PID:8277] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:10,714 PID:8274] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:10,714 PID:8206] [Rank: 3] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:11,036 PID:8278] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:11,036 PID:8274] [Rank: 2] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:11,036 PID:8206] [Rank: 3] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:11,036 PID:8277] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:52:11,295 PID:8274] [Rank: 2] Total time for node feature exchange: 0:00:01.212835 [66436705fbf3 INFO 2022-10-11 09:52:11,295 PID:8278] [Rank: 1] Total time for node feature exchange: 0:00:01.203015 [66436705fbf3 INFO 2022-10-11 09:52:11,295 PID:8277] [Rank: 0] Total time for node feature exchange: 0:00:01.212849 [66436705fbf3 INFO 2022-10-11 09:52:11,295 PID:8206] [Rank: 3] Total time for node feature exchange: 0:00:01.212417 [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8277] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8274] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8278] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8274] [Rank: 2] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8277] [Rank: 0] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8277] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8278] [Rank: 1] Total time for node feature exchange: 0:00:00.000001 [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8278] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8206] [Rank: 3] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8206] [Rank: 3] Total time for node feature exchange: 0:00:00.000002 [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8206] [Rank: 3] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:11,296 PID:8274] [Rank: 2] Done with edge features exchange. PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] [66436705fbf3 INFO 2022-10-11 09:52:11,860 PID:8206] [Rank: 3] Time to send/rcv edge data: 0:00:00.007990 [66436705fbf3 INFO 2022-10-11 09:52:11,860 PID:8277] [Rank: 0] Time to send/rcv edge data: 0:00:00.007984 [66436705fbf3 INFO 2022-10-11 09:52:11,860 PID:8274] [Rank: 2] Time to send/rcv edge data: 0:00:00.007952 [66436705fbf3 INFO 2022-10-11 09:52:11,861 PID:8278] [Rank: 1] Time to send/rcv edge data: 0:00:00.008315 [66436705fbf3 INFO 2022-10-11 09:52:11,930 PID:8278] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:11,933 PID:8206] [Rank: 3] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:11,936 PID:8277] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:11,940 PID:8274] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:11,968 PID:8278] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:11,975 PID:8206] [Rank: 3] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:11,983 PID:8277] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:11,984 PID:8274] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:11,986 PID:8206] [Rank: 3] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:11,986 PID:8278] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:11,987 PID:8277] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:11,987 PID:8274] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:12,038 PID:8206] [Rank: 3] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:12,040 PID:8278] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:12,041 PID:8277] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:12,046 PID:8274] [Rank: 2] Done assigning global_ids to edges ... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] [66436705fbf3 INFO 2022-10-11 09:52:12,345 PID:8278] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:12,345 PID:8274] [Rank: 2] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:12,345 PID:8277] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:12,346 PID:8206] [Rank: 3] Done resolving orig_node_id for local node_ids... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] [66436705fbf3 INFO 2022-10-11 09:52:12,606 PID:8278] There are 11752 edges in partition 1 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] [66436705fbf3 INFO 2022-10-11 09:52:12,686 PID:8277] There are 12483 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:52:12,705 PID:8274] There are 13029 edges in partition 2 [66436705fbf3 INFO 2022-10-11 09:52:12,752 PID:8206] There are 13136 edges in partition 3 [66436705fbf3 INFO 2022-10-11 09:52:12,829 PID:8206] [Rank: 3] Time to create dgl objects: 0:00:00.483076 [66436705fbf3 INFO 2022-10-11 09:52:12,829 PID:8274] [Rank: 2] Time to create dgl objects: 0:00:00.483526 [66436705fbf3 INFO 2022-10-11 09:52:12,829 PID:8278] [Rank: 1] Time to create dgl objects: 0:00:00.483615 [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8206] [Rank: 3] Total execution time of the program: 0:00:03.093463 [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8274] [Rank: 2] Total execution time of the program: 0:00:03.093719 [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8278] [Rank: 1] Total execution time of the program: 0:00:03.093538 [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8206] [Rank: 3] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8274] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8277] [Rank: 0] Time to create dgl objects: 0:00:00.484314 [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8277] [Rank: 0] Total execution time of the program: 0:00:03.095516 [66436705fbf3 INFO 2022-10-11 09:52:12,831 PID:8277] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:12,830 PID:8278] [Rank: 1] Done with Distributed data processing pipeline processing. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] 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] Done with creating chunked graph PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] INFO:root:Changing directory to /tmp/tmpa6u3glrf/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4700@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-4700@4 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpa6u3glrf/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@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-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@4/python: RANK=4 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@4/python: RANK=5 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@4/python: RANK=6 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpa6u3glrf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4700@4/python: RANK=7 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4700@4/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmpa6u3glrf/parted_data --input-dir /tmp/tmpa6u3glrf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmpa6u3glrf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.7' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.5' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.6' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.8' (ECDSA) to the list of known hosts. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] [66436705fbf3 INFO 2022-10-11 09:52:17,365 PID:8855] Added key: store_based_barrier_key:1 to store for rank: 0 [66436705fbf3 INFO 2022-10-11 09:52:17,380 PID:9058] Added key: store_based_barrier_key:1 to store for rank: 1 [66436705fbf3 INFO 2022-10-11 09:52:17,390 PID:9061] Added key: store_based_barrier_key:1 to store for rank: 2 [66436705fbf3 INFO 2022-10-11 09:52:17,403 PID:8948] Added key: store_based_barrier_key:1 to store for rank: 3 [66436705fbf3 INFO 2022-10-11 09:52:17,414 PID:9053] Added key: store_based_barrier_key:1 to store for rank: 4 [66436705fbf3 INFO 2022-10-11 09:52:17,424 PID:8984] Added key: store_based_barrier_key:1 to store for rank: 5 [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:8948] Rank 3: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:9253] Added key: store_based_barrier_key:1 to store for rank: 7 [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:9253] Rank 7: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:9053] Rank 4: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,435 PID:8984] Rank 5: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,435 PID:9061] Rank 2: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:8867] Added key: store_based_barrier_key:1 to store for rank: 6 [66436705fbf3 INFO 2022-10-11 09:52:17,434 PID:8867] Rank 6: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,438 PID:8855] Rank 0: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,439 PID:8855] [Rank: 0] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,439 PID:8855] [Rank: 0] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,439 PID:8948] [Rank: 3] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,439 PID:8948] [Rank: 3] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8855] [Rank: 0] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8948] [Rank: 3] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9253] [Rank: 7] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9253] [Rank: 7] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9053] [Rank: 4] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9053] [Rank: 4] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8867] [Rank: 6] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8867] [Rank: 6] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8984] [Rank: 5] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:8984] [Rank: 5] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9061] [Rank: 2] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,440 PID:9061] [Rank: 2] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,441 PID:9253] [Rank: 7] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,441 PID:8984] [Rank: 5] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,441 PID:9061] [Rank: 2] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,441 PID:9053] [Rank: 4] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,441 PID:8867] [Rank: 6] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,445 PID:9058] Rank 1: Completed store-based barrier for 8 nodes. [66436705fbf3 INFO 2022-10-11 09:52:17,445 PID:9058] [Rank: 1] Done with process group initialization... [66436705fbf3 INFO 2022-10-11 09:52:17,445 PID:9058] [Rank: 1] Starting distributed data processing pipeline... [66436705fbf3 INFO 2022-10-11 09:52:17,446 PID:9058] [Rank: 1] Reading file: /tmp/tmpa6u3glrf/parted_data/author.txt [66436705fbf3 INFO 2022-10-11 09:52:17,448 PID:8855] [Rank: 0] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,449 PID:8948] [Rank: 3] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,453 PID:9061] [Rank: 2] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,455 PID:9253] [Rank: 7] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,455 PID:9053] [Rank: 4] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,455 PID:8867] [Rank: 6] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,455 PID:8984] [Rank: 5] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,456 PID:8855] [Rank: 0] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,460 PID:8948] [Rank: 3] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,460 PID:9058] [Rank: 1] Reading file: /tmp/tmpa6u3glrf/parted_data/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:17,465 PID:9061] [Rank: 2] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,466 PID:9053] [Rank: 4] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,467 PID:8867] [Rank: 6] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,469 PID:8855] [Rank: 0] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,469 PID:8855] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,469 PID:8984] [Rank: 5] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,470 PID:8948] [Rank: 3] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,470 PID:9058] [Rank: 1] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,471 PID:9253] [Rank: 7] Reading file: /tmp/tmpa6u3glrf/parted_data/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:17,471 PID:8948] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,472 PID:8855] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,473 PID:8855] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,473 PID:8855] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8948] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8948] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8948] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:9053] [Rank: 4] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:8948] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,476 PID:9053] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,474 PID:8855] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8855] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8855] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8855] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,475 PID:8855] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution0.txt [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:8948] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:8948] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:8948] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:8948] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:8948] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution3.txt [66436705fbf3 INFO 2022-10-11 09:52:17,477 PID:9061] [Rank: 2] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,478 PID:9061] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,480 PID:9053] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,480 PID:9053] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:8984] [Rank: 5] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:8984] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9253] [Rank: 7] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] [Rank: 4] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] [Rank: 4] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9253] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] [Rank: 4] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] [Rank: 4] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9053] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:9058] [Rank: 1] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:8867] [Rank: 6] Initialized metis partitions and node_types map... [66436705fbf3 INFO 2022-10-11 09:52:17,481 PID:8867] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9053] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9058] Loading node feature[feat] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/feat-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9061] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9053] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9061] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,483 PID:9061] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,483 PID:9061] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,483 PID:9061] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,484 PID:9061] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,484 PID:9061] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,484 PID:9061] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,484 PID:9061] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9053] [Rank: 4] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9053] [Rank: 4] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,482 PID:9053] [Rank: 4] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,483 PID:9053] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution4.txt [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9061] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9061] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9061] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:8855] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9061] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9058] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9061] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution2.txt [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9058] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9058] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:8984] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:8984] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:8984] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:8984] [Rank: 5] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:8984] [Rank: 5] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:8984] [Rank: 5] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:8867] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9253] Loading node feature[label] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/label-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,485 PID:9253] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] [Rank: 7] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] [Rank: 7] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] [Rank: 7] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] [Rank: 7] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,486 PID:9253] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8984] [Rank: 5] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8984] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8984] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8984] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8984] [Rank: 5] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8984] [Rank: 5] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8984] [Rank: 5] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8948] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8984] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution5.txt [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9253] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9253] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9253] [Rank: 7] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9253] [Rank: 7] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9253] [Rank: 7] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:9253] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution7.txt [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:9058] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:9058] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:9058] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:9058] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:9058] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution1.txt [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8867] Loading node feature[year] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,487 PID:8867] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpa6u3glrf/chunked-data/node_data/paper/orig_ids-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8867] [Rank: 6] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8867] [Rank: 6] node feature name: paper/label, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8867] [Rank: 6] node feature name: paper/year, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8867] [Rank: 6] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [66436705fbf3 INFO 2022-10-11 09:52:17,488 PID:8867] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:cites:paper/count-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,489 PID:8867] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/author:writes:paper/year-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,489 PID:8867] Loading numpy from /tmp/tmpa6u3glrf/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [66436705fbf3 INFO 2022-10-11 09:52:17,490 PID:8867] [Rank: 6] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [66436705fbf3 INFO 2022-10-11 09:52:17,490 PID:8867] [Rank: 6] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,490 PID:8867] [Rank: 6] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [66436705fbf3 INFO 2022-10-11 09:52:17,490 PID:8867] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:affiliated_with:institution6.txt [66436705fbf3 INFO 2022-10-11 09:52:17,492 PID:9053] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper4.txt [66436705fbf3 INFO 2022-10-11 09:52:17,492 PID:8855] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper0.txt [66436705fbf3 INFO 2022-10-11 09:52:17,498 PID:9058] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:17,498 PID:9061] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:17,501 PID:9253] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper7.txt [66436705fbf3 INFO 2022-10-11 09:52:17,502 PID:9053] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper4.txt [66436705fbf3 INFO 2022-10-11 09:52:17,502 PID:8948] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper3.txt [66436705fbf3 INFO 2022-10-11 09:52:17,505 PID:8855] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author0.txt [66436705fbf3 INFO 2022-10-11 09:52:17,505 PID:8867] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper6.txt [66436705fbf3 INFO 2022-10-11 09:52:17,502 PID:8984] Loading edges of etype[author:writes:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/author:writes:paper5.txt [66436705fbf3 INFO 2022-10-11 09:52:17,510 PID:9061] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper2.txt [66436705fbf3 INFO 2022-10-11 09:52:17,511 PID:9053] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author4.txt [66436705fbf3 INFO 2022-10-11 09:52:17,516 PID:9058] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper1.txt [66436705fbf3 INFO 2022-10-11 09:52:17,516 PID:8867] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper6.txt [66436705fbf3 INFO 2022-10-11 09:52:17,516 PID:8855] [Rank: 0] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,516 PID:8948] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author3.txt [66436705fbf3 INFO 2022-10-11 09:52:17,516 PID:8855] [Rank: 0] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,517 PID:9253] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper7.txt [66436705fbf3 INFO 2022-10-11 09:52:17,517 PID:8984] Loading edges of etype[paper:cites:paper] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:cites:paper5.txt [66436705fbf3 INFO 2022-10-11 09:52:17,520 PID:9053] [Rank: 4] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,521 PID:9053] [Rank: 4] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,521 PID:9061] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author2.txt [66436705fbf3 INFO 2022-10-11 09:52:17,526 PID:8948] [Rank: 3] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,526 PID:8948] [Rank: 3] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,530 PID:9061] [Rank: 2] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,530 PID:9061] [Rank: 2] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,529 PID:8984] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author5.txt [66436705fbf3 INFO 2022-10-11 09:52:17,533 PID:9058] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author1.txt [66436705fbf3 INFO 2022-10-11 09:52:17,536 PID:9253] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author7.txt [66436705fbf3 INFO 2022-10-11 09:52:17,536 PID:8867] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpa6u3glrf/chunked-data/edge_index/paper:rev_writes:author6.txt [66436705fbf3 INFO 2022-10-11 09:52:17,537 PID:8984] [Rank: 5] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,537 PID:8984] [Rank: 5] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,544 PID:8867] [Rank: 6] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,544 PID:8867] [Rank: 6] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,555 PID:9253] [Rank: 7] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,556 PID:9253] [Rank: 7] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:17,564 PID:9058] [Rank: 1] Done reading edge_file: 4, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:17,564 PID:9058] [Rank: 1] Done reading dataset deom /tmp/tmpa6u3glrf/chunked-data [66436705fbf3 INFO 2022-10-11 09:52:18,212 PID:8855] [Rank: 0] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,212 PID:8855] [Rank: 0] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,212 PID:9058] [Rank: 1] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,212 PID:9058] [Rank: 1] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:9058] [Rank: 1] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:8855] [Rank: 0] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:8948] [Rank: 3] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:8867] [Rank: 6] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:8948] [Rank: 3] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:8948] [Rank: 3] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:9061] [Rank: 2] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:9061] [Rank: 2] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:9061] [Rank: 2] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,214 PID:8867] [Rank: 6] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,229 PID:8867] [Rank: 6] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,212 PID:9053] [Rank: 4] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:9053] [Rank: 4] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,213 PID:9053] [Rank: 4] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,234 PID:9253] [Rank: 7] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,235 PID:9253] [Rank: 7] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,235 PID:9253] [Rank: 7] processing node feature: paper/feat [66436705fbf3 INFO 2022-10-11 09:52:18,244 PID:8984] [Rank: 5] Done augmenting edge_data: 6, (6300,) [66436705fbf3 INFO 2022-10-11 09:52:18,244 PID:8984] [Rank: 5] Done augmenting file input data with auxilary columns [66436705fbf3 INFO 2022-10-11 09:52:18,245 PID:8984] [Rank: 5] processing node feature: paper/feat PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:9061] [Rank: 2] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:9058] [Rank: 1] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:8855] [Rank: 0] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:9053] [Rank: 4] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:8984] [Rank: 5] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:8867] [Rank: 6] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:8948] [Rank: 3] processing node feature: paper/label [66436705fbf3 INFO 2022-10-11 09:52:19,406 PID:9253] [Rank: 7] processing node feature: paper/label PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:8948] [Rank: 3] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:9058] [Rank: 1] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:9061] [Rank: 2] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:9253] [Rank: 7] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:8855] [Rank: 0] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:8867] [Rank: 6] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:8984] [Rank: 5] processing node feature: paper/year [66436705fbf3 INFO 2022-10-11 09:52:20,787 PID:9053] [Rank: 4] processing node feature: paper/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:9061] [Rank: 2] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:8948] [Rank: 3] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:8984] [Rank: 5] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:8855] [Rank: 0] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:9053] [Rank: 4] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:9253] [Rank: 7] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:9058] [Rank: 1] processing node feature: paper/orig_ids [66436705fbf3 INFO 2022-10-11 09:52:22,015 PID:8867] [Rank: 6] processing node feature: paper/orig_ids 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] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8855] [Rank: 0] Total time for node feature exchange: 0:00:05.034846 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9253] [Rank: 7] Total time for node feature exchange: 0:00:05.012390 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9061] [Rank: 2] Total time for node feature exchange: 0:00:05.033933 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9058] [Rank: 1] Total time for node feature exchange: 0:00:05.034962 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8984] [Rank: 5] Total time for node feature exchange: 0:00:05.003061 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9053] [Rank: 4] Total time for node feature exchange: 0:00:05.034186 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8867] [Rank: 6] Total time for node feature exchange: 0:00:05.018720 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8948] [Rank: 3] Total time for node feature exchange: 0:00:05.033273 [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8855] [Rank: 0] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9058] [Rank: 1] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8855] [Rank: 0] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9058] [Rank: 1] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9253] [Rank: 7] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8984] [Rank: 5] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8948] [Rank: 3] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9053] [Rank: 4] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9053] [Rank: 4] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9061] [Rank: 2] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8867] [Rank: 6] Done with node features exchange. [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9253] [Rank: 7] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8948] [Rank: 3] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8867] [Rank: 6] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:9061] [Rank: 2] processing node feature: paper:cites:paper/count [66436705fbf3 INFO 2022-10-11 09:52:23,248 PID:8984] [Rank: 5] processing node feature: paper:cites:paper/count PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] 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] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] 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 [ 21%] 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 [ 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[int32] 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 [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] SKIPPED (GPU s...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] SKIPPED (GPU s...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] SKIPPED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] SKIPPED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 25%]PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 27%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:8948] [Rank: 3] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:8984] [Rank: 5] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:9053] [Rank: 4] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:9061] [Rank: 2] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:8867] [Rank: 6] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:9253] [Rank: 7] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:8855] [Rank: 0] processing node feature: paper:rev_writes:author/year [66436705fbf3 INFO 2022-10-11 09:52:33,035 PID:9058] [Rank: 1] processing node feature: 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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 [ 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g1] 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 [ 50%] 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PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g0] PASSED [ 51%]PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g0] PASSED [ 51%] 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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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g1] PASSED [ 52%] 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PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g1] 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-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%] 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PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g0] PASSED [ 54%] 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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%] 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PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-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%] 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PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 58%] 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PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g1] PASSED [ 59%] 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 [ 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 [ 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-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 [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g1] 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g1] 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 [ 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 [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp4-g0] PASSED [ 61%] 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tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp3-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 [ 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g0] 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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] 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 [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] 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%] 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%] 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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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-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%] 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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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] 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%] 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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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] 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 [ 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] [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8948] [Rank: 3] Total time for node feature exchange: 0:00:13.949013 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8948] [Rank: 3] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8867] [Rank: 6] Total time for node feature exchange: 0:00:13.949032 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8867] [Rank: 6] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8855] [Rank: 0] Total time for node feature exchange: 0:00:13.949034 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8855] [Rank: 0] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:9061] [Rank: 2] Total time for node feature exchange: 0:00:13.949232 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:9061] [Rank: 2] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:9058] [Rank: 1] Total time for node feature exchange: 0:00:13.949079 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:9058] [Rank: 1] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8984] [Rank: 5] Total time for node feature exchange: 0:00:13.949253 [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:8984] [Rank: 5] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,197 PID:9253] [Rank: 7] Total time for node feature exchange: 0:00:13.949282 [66436705fbf3 INFO 2022-10-11 09:52:37,198 PID:9253] [Rank: 7] Done with edge features exchange. [66436705fbf3 INFO 2022-10-11 09:52:37,240 PID:9053] [Rank: 4] Total time for node feature exchange: 0:00:13.991716 [66436705fbf3 INFO 2022-10-11 09:52:37,240 PID:9053] [Rank: 4] Done with edge features exchange. PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] 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 [ 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-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 [ 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 [ 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 [ 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 [ 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%] 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 [ 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 [ 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%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp0-g0] 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%]PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:9061] [Rank: 2] Time to send/rcv edge data: 0:00:00.005580 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:9058] [Rank: 1] Time to send/rcv edge data: 0:00:00.005094 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:8948] [Rank: 3] Time to send/rcv edge data: 0:00:00.005249 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:8855] [Rank: 0] Time to send/rcv edge data: 0:00:00.004473 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:8984] [Rank: 5] Time to send/rcv edge data: 0:00:00.005060 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:9053] [Rank: 4] Time to send/rcv edge data: 0:00:00.004698 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:8867] [Rank: 6] Time to send/rcv edge data: 0:00:00.004585 [66436705fbf3 INFO 2022-10-11 09:52:38,755 PID:9253] [Rank: 7] Time to send/rcv edge data: 0:00:00.004015 [66436705fbf3 INFO 2022-10-11 09:52:38,802 PID:9053] [Rank: 4] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,814 PID:9061] [Rank: 2] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,816 PID:8867] [Rank: 6] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,822 PID:8984] [Rank: 5] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,828 PID:9053] [Rank: 4] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,827 PID:8948] [Rank: 3] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,850 PID:9061] [Rank: 2] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,851 PID:8867] [Rank: 6] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,859 PID:9058] [Rank: 1] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,857 PID:8855] [Rank: 0] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,858 PID:9253] [Rank: 7] Done with data shuffling... [66436705fbf3 INFO 2022-10-11 09:52:38,873 PID:8984] [Rank: 5] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,875 PID:8948] [Rank: 3] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,902 PID:8855] [Rank: 0] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,906 PID:9058] [Rank: 1] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,906 PID:9253] [Rank: 7] Sorted node_data by node_type [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:9058] [Rank: 1] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:8855] [Rank: 0] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:9253] [Rank: 7] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:9061] [Rank: 2] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:8948] [Rank: 3] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:9053] [Rank: 4] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:8867] [Rank: 6] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,908 PID:8984] [Rank: 5] Done assigning global-ids to nodes... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:9053] [Rank: 4] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:8855] [Rank: 0] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:9253] [Rank: 7] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:8984] [Rank: 5] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:8948] [Rank: 3] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,964 PID:9058] [Rank: 1] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,965 PID:9061] [Rank: 2] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,965 PID:8867] [Rank: 6] Done assigning global_ids to edges ... [66436705fbf3 INFO 2022-10-11 09:52:38,966 PID:9053] [Rank: 4] key: paper:cites:paper/count v: torch.Size([2763]) [66436705fbf3 INFO 2022-10-11 09:52:38,966 PID:9053] [Rank: 4] key: author:writes:paper/year v: torch.Size([1356]) [66436705fbf3 INFO 2022-10-11 09:52:38,966 PID:9053] [Rank: 4] key: paper:rev_writes:author/year v: torch.Size([1554]) [66436705fbf3 INFO 2022-10-11 09:52:38,971 PID:8855] [Rank: 0] key: paper:cites:paper/count v: torch.Size([2520]) [66436705fbf3 INFO 2022-10-11 09:52:38,971 PID:8855] [Rank: 0] key: author:writes:paper/year v: torch.Size([1346]) [66436705fbf3 INFO 2022-10-11 09:52:38,971 PID:8855] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([1709]) [66436705fbf3 INFO 2022-10-11 09:52:38,980 PID:8984] [Rank: 5] key: paper:cites:paper/count v: torch.Size([2973]) [66436705fbf3 INFO 2022-10-11 09:52:38,980 PID:8984] [Rank: 5] key: author:writes:paper/year v: torch.Size([1502]) [66436705fbf3 INFO 2022-10-11 09:52:38,980 PID:8984] [Rank: 5] key: paper:rev_writes:author/year v: torch.Size([1329]) [66436705fbf3 INFO 2022-10-11 09:52:38,981 PID:8948] [Rank: 3] key: paper:cites:paper/count v: torch.Size([3174]) [66436705fbf3 INFO 2022-10-11 09:52:38,981 PID:8948] [Rank: 3] key: author:writes:paper/year v: torch.Size([1548]) [66436705fbf3 INFO 2022-10-11 09:52:38,981 PID:8948] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([1378]) [66436705fbf3 INFO 2022-10-11 09:52:38,989 PID:9058] [Rank: 1] key: paper:cites:paper/count v: torch.Size([3304]) [66436705fbf3 INFO 2022-10-11 09:52:38,989 PID:9058] [Rank: 1] key: author:writes:paper/year v: torch.Size([1594]) [66436705fbf3 INFO 2022-10-11 09:52:38,989 PID:9058] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([1438]) [66436705fbf3 INFO 2022-10-11 09:52:39,001 PID:8867] [Rank: 6] key: paper:cites:paper/count v: torch.Size([2518]) [66436705fbf3 INFO 2022-10-11 09:52:39,001 PID:8867] [Rank: 6] key: author:writes:paper/year v: torch.Size([1344]) [66436705fbf3 INFO 2022-10-11 09:52:39,001 PID:8867] [Rank: 6] key: paper:rev_writes:author/year v: torch.Size([1590]) 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 [ 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/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] 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] [66436705fbf3 INFO 2022-10-11 09:52:39,010 PID:9061] [Rank: 2] key: paper:cites:paper/count v: torch.Size([3195]) [66436705fbf3 INFO 2022-10-11 09:52:39,010 PID:9061] [Rank: 2] key: author:writes:paper/year v: torch.Size([1560]) [66436705fbf3 INFO 2022-10-11 09:52:39,011 PID:9061] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([1381]) [66436705fbf3 INFO 2022-10-11 09:52:39,050 PID:9253] [Rank: 7] key: paper:cites:paper/count v: torch.Size([3553]) [66436705fbf3 INFO 2022-10-11 09:52:39,051 PID:9253] [Rank: 7] key: author:writes:paper/year v: torch.Size([1750]) [66436705fbf3 INFO 2022-10-11 09:52:39,051 PID:9253] [Rank: 7] key: paper:rev_writes:author/year v: torch.Size([1621]) 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 [ 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-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 [ 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] 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] 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] [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:9061] [Rank: 2] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:8867] [Rank: 6] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:9053] [Rank: 4] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:9253] [Rank: 7] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:9058] [Rank: 1] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,528 PID:8855] [Rank: 0] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,529 PID:8984] [Rank: 5] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,529 PID:8948] [Rank: 3] Done resolving orig_node_id for local node_ids... [66436705fbf3 INFO 2022-10-11 09:52:39,796 PID:9253] There are 7214 edges in partition 7 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn 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 [ 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%][66436705fbf3 INFO 2022-10-11 09:52:39,870 PID:8948] There are 6433 edges in partition 3 [66436705fbf3 INFO 2022-10-11 09:52:39,878 PID:9061] There are 6417 edges in partition 2 [66436705fbf3 INFO 2022-10-11 09:52:39,899 PID:8855] There are 5847 edges in partition 0 [66436705fbf3 INFO 2022-10-11 09:52:39,924 PID:9053] There are 5989 edges in partition 4 [66436705fbf3 INFO 2022-10-11 09:52:39,974 PID:8867] There are 5795 edges in partition 6 [66436705fbf3 INFO 2022-10-11 09:52:39,993 PID:9058] There are 6601 edges in partition 1 [66436705fbf3 INFO 2022-10-11 09:52:39,995 PID:8984] There are 6104 edges in partition 5 PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] 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 [ 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] [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9058] [Rank: 1] Time to create dgl objects: 0:00:00.574440 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8948] [Rank: 3] Time to create dgl objects: 0:00:00.573805 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8867] [Rank: 6] Time to create dgl objects: 0:00:00.574813 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8984] [Rank: 5] Time to create dgl objects: 0:00:00.573855 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9061] [Rank: 2] Time to create dgl objects: 0:00:00.574822 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8867] [Rank: 6] Total execution time of the program: 0:00:22.663035 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9058] [Rank: 1] Total execution time of the program: 0:00:22.658131 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8948] [Rank: 3] Total execution time of the program: 0:00:22.664432 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8984] [Rank: 5] Total execution time of the program: 0:00:22.663090 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:8867] [Rank: 6] Done with Distributed data processing pipeline processing. [Rank: 6 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9053] [Rank: 4] Time to create dgl objects: 0:00:00.575163 [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:8948] [Rank: 3] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9058] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:8984] [Rank: 5] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 5 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9053] [Rank: 4] Total execution time of the program: 0:00:22.663614 [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9253] [Rank: 7] Time to create dgl objects: 0:00:00.575105 [Rank: 2 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:40,103 PID:9061] [Rank: 2] Total execution time of the program: 0:00:22.663069 [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9061] [Rank: 2] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9053] [Rank: 4] Done with Distributed data processing pipeline processing. [Rank: 4 Edge data is already sorted !!! [Rank: 7 Edge data is already sorted !!! [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9253] [Rank: 7] Total execution time of the program: 0:00:22.663665 [66436705fbf3 INFO 2022-10-11 09:52:40,104 PID:9253] [Rank: 7] Done with Distributed data processing pipeline processing. [66436705fbf3 INFO 2022-10-11 09:52:40,105 PID:8855] [Rank: 0] Time to create dgl objects: 0:00:00.575940 [66436705fbf3 INFO 2022-10-11 09:52:40,105 PID:8855] [Rank: 0] Total execution time of the program: 0:00:22.666219 [66436705fbf3 INFO 2022-10-11 09:52:40,105 PID:8855] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] PASSED [ 72%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_chained_udf PASSED [ 75%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_py_versions PASSED [ 78%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_simple PASSED [ 81%] tests/tools/test_launch.py::TestWrapCmdWithLocalEnvvars::test_simple PASSED [ 83%] tests/tools/test_launch.py::TestConstructDglServerEnvVars::test_simple PASSED [ 86%] tests/tools/test_launch.py::TestConstructDglClientEnvVars::test_simple PASSED [ 89%] tests/tools/test_launch.py::test_submit_jobs Currently it's in dry run mode which means no jobs will be launched. PASSED [ 91%] tests/tools/test_parmetis.py::test_parmetis_preprocessing SKIPPED (m...) [ 94%] tests/tools/test_parmetis.py::test_parmetis_postprocessing Done with creating chunked graph /tmp/tmpiwjp1mw0/chunked-data/metadata.json /tmp/tmpiwjp1mw0/chunked-data/partitions_dir /tmp/tmpiwjp1mw0/chunked-data/parmetis_output.txt 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] 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 [ 95%]PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] 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 [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] [66436705fbf3 INFO 2022-10-11 09:52:41,544 PID:10079] Starting to process parmetis output. [66436705fbf3 INFO 2022-10-11 09:52:41,544 PID:10079] /tmp/tmpiwjp1mw0/chunked-data/metadata.json [66436705fbf3 INFO 2022-10-11 09:52:41,544 PID:10079] /tmp/tmpiwjp1mw0/chunked-data/parmetis_output.txt [66436705fbf3 INFO 2022-10-11 09:52:41,688 PID:10079] Generated /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/author.txt [66436705fbf3 INFO 2022-10-11 09:52:41,688 PID:10079] Generated /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/institution.txt [66436705fbf3 INFO 2022-10-11 09:52:41,688 PID:10079] Generated /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/paper.txt [66436705fbf3 INFO 2022-10-11 09:52:41,688 PID:10079] Done processing parmetis output 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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g1] 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] /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/author.txt /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/paper.txt /tmp/tmpiwjp1mw0/chunked-data/partitions_dir/institution.txt PASSED [ 97%] tests/tools/test_parmetis.py::test_parmetis_wrapper SKIPPED (mpi is ...) [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@4/pytest_tools.xml -- ============================ slowest 100 durations ============================= 27.40s call tests/tools/test_dist_part.py::test_part_pipeline[8-8] 8.81s call tests/tools/test_dist_part.py::test_part_pipeline[4-4] 7.59s call tests/tools/test_dist_part.py::test_part_pipeline[4-8] 7.34s call tests/tools/test_dist_part.py::test_part_pipeline[3-3] 6.75s call tests/tools/test_dist_part.py::test_part_pipeline[3-8] 6.73s call tests/tools/test_dist_part.py::test_part_pipeline[3-4] 5.84s call tests/tools/test_dist_part.py::test_part_pipeline[2-2] 5.20s call tests/tools/test_dist_part.py::test_part_pipeline[2-4] 5.20s call tests/tools/test_dist_part.py::test_part_pipeline[2-3] 5.20s call tests/tools/test_dist_part.py::test_part_pipeline[2-8] 4.59s call tests/tools/test_dist_part.py::test_part_pipeline[1-8] 4.39s call tests/tools/test_dist_part.py::test_part_pipeline[1-4] 4.31s call tests/tools/test_dist_part.py::test_part_pipeline[1-1] 4.20s call tests/tools/test_dist_part.py::test_part_pipeline[1-3] 4.19s call tests/tools/test_dist_part.py::test_part_pipeline[1-2] 1.20s call tests/tools/test_parmetis.py::test_parmetis_postprocessing 0.16s call tests/tools/test_dist_part.py::test_chunk_graph[1] 0.13s 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 110.48s (0:01:50) ============ 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] [Pipeline] } PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] [Pipeline] // timeout PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g0] [Pipeline] } PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-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 [ 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 66436705fbf3eddfab1d91452f484cc8cde9bef1dd558cd5fc2d06aafb7cea09 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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%]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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g0] 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%] 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_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-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] 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%]PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] $ docker rm -f 66436705fbf3eddfab1d91452f484cc8cde9bef1dd558cd5fc2d06aafb7cea09 =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_compute.xml -- ============================ slowest 100 durations ============================= 20.50s call tests/compute/test_sampler.py::test_negative_sampler 9.07s call tests/compute/test_kernel.py::test_all_binary_builtins 1.24s call tests/compute/test_graph.py::test_query 0.94s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.71s call tests/compute/test_heterograph.py::test_query[int32] 0.68s call tests/compute/test_heterograph.py::test_query[int64] 0.64s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.53s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.47s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.36s call tests/compute/test_traversal.py::test_bfs[int32] 0.36s call tests/compute/test_basics.py::test_compatible 0.34s call tests/compute/test_basics.py::test_batch_setter_getter[int32] 0.32s call tests/compute/test_traversal.py::test_bfs[int64] 0.32s call tests/compute/test_heterograph.py::test_view1[int32] 0.30s call tests/compute/test_heterograph.py::test_view1[int64] 0.27s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.24s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.23s call tests/compute/test_transform.py::test_add_edges[int64] 0.23s call tests/compute/test_kernel.py::test_copy_src_reduce 0.17s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 0.17s call tests/compute/test_heterograph.py::test_updates[int32] 0.17s call tests/compute/test_heterograph.py::test_updates[int64] 0.16s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 0.16s call tests/compute/test_heterograph.py::test_convert[int64] 0.14s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.13s call tests/compute/test_transform.py::test_remove_nodes[int32] 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-g0-int64] 0.11s call tests/compute/test_heterograph.py::test_format[int64] 0.11s call tests/compute/test_heterograph.py::test_format[int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int32] 0.11s call tests/compute/test_transform.py::test_remove_edges[int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int64] 0.11s call tests/compute/test_heterograph.py::test_level2[int32] 0.10s call tests/compute/test_heterograph.py::test_level2[int64] 0.10s 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_sampler.py::test_1neighbor_sampler_all 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int32] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.09s call tests/compute/test_shared_mem.py::test_copy_from_gpu 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_heterograph.py::test_flatten[int32] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int32] 0.07s call tests/compute/test_heterograph.py::test_convert[int32] 0.07s call tests/compute/test_heterograph.py::test_flatten[int64] 0.07s call tests/compute/test_specialization.py::test_v2v_update_all[int64] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int32] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int64] 0.06s call tests/compute/test_transform.py::test_add_edges[int32] 0.06s call tests/compute/test_heterograph.py::test_float_cast 0.05s call tests/compute/test_sampler.py::test_layer_sampler 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int64] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int32] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int64] 0.05s call tests/compute/test_removal.py::test_edge_removal[int32] 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_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_remove_nodes[int64] 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int32] 0.05s call tests/compute/test_transform.py::test_to_block[int32] 0.05s call tests/compute/test_transform.py::test_to_block[int64] 0.04s call tests/compute/test_heterograph.py::test_types_in_function[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_transform.py::test_add_reverse_edges 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] 0.04s call tests/compute/test_transform.py::test_no_backtracking 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int32] 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 0.04s call tests/compute/test_heterograph.py::test_create[int32] 0.04s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.04s call tests/compute/test_heterograph.py::test_create[int64] 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int32] 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] 0.03s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 0.03s call tests/compute/test_transform.py::test_reorder_graph[int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] 0.03s call tests/compute/test_transform.py::test_reverse[int64] 0.03s call tests/compute/test_transform.py::test_reverse[int32] 0.03s call tests/compute/test_transform.py::test_reorder_graph[int64] 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-g2-int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range ========= 2229 passed, 204 skipped, 48243 warnings in 75.16s (0:01:15) ========= PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] 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] [Pipeline] // withDockerContainer PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] [Pipeline] } 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: [Pipeline] // withEnv PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4700@4 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] [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 [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] ============================= 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-4700 collecting ... PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] 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 [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g1] 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] Cleaning workspace Fetching without tags PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4700/head:refs/remotes/origin/PR-4700 # 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g1] Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] 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 [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g0] 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 [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g1] + docker pull dgllib/dgl-ci-cpu:v220816 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 [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 86%]PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g0] 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] } PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] [Pipeline] // withEnv [Pipeline] isUnix PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] 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] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] dgl-manual-large-cpu does not seem to be running inside a container PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4700@4 -v /root/jenkins/workspace/dgl_PR-4700@4:/root/jenkins/workspace/dgl_PR-4700@4:rw,z -v /root/jenkins/workspace/dgl_PR-4700@4@tmp:/root/jenkins/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-cpu:v220816 cat PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-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] $ docker top 239f384f6f71ee813df6919e6d001b5f91957b6880b66d3fe3c35db427b9df50 -eo pid,comm [Pipeline] { PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] [Pipeline] stage [Pipeline] { (DGL-Go CPU test) [Pipeline] sh PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] + 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@5a085349; 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) PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] Fetching changes from the remote Git repository Cleaning workspace PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g0] Fetching without tags PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] 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] collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g1] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] 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] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 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] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] 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 [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] 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%][Pipeline] sh PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] 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] 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 [ 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] + 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' PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/METIS'... 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 [ 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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/dlpack'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/dmlc-core'... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/googletest'... 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 [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g1] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g0] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 87%]PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset 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 [ 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%] 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] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] 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 [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/libxsmm'... 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 [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%]PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g1] =============================== 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.35s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.32s call tests/mxnet/test_geometry.py::test_fps 0.07s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-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[stack-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-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[mean-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 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-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[max-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.03s call tests/mxnet/test_nn.py::test_set2set 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 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[2-int32] 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-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_simple_pool 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-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[5-20-g4-int64] 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-g5-int64] 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[5-1-g6-int64] 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-g2-int32] 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[5-20-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[1-20-g5-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[1-1-g0-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-g3-int32] 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[5-1-g0-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[5-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-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[5-1-g3-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[1-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] 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[5-20-g5-int32] 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[5-1-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 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-g3-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[1-20-g2-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[5-1-g0-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[1-1-g2-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[5-20-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[1-20-g1-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-g5-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[1-1-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[1-pool-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[1-1-g0-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_sage_conv_bi2[1-pool-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_sage_conv_bi2[2-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-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[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-mean-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[1-1-g1-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[1-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_rgcn[1] 0.01s call tests/mxnet/test_nn.py::test_sequential 0.01s call tests/mxnet/test_nn.py::test_tagconv[1] 0.01s call tests/mxnet/test_nn.py::test_glob_att_pool 0.01s call tests/mxnet/test_nn.py::test_tagconv[2] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] ===================== 806 passed, 1388 warnings in 12.38s ====================== PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] [Pipeline] } PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] [Pipeline] // timeout [Pipeline] } PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 479f2446eddf1cb6e435092f495854f115d6ca6ed4c60cc980a88716eac7ebfe PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] $ docker rm -f 479f2446eddf1cb6e435092f495854f115d6ca6ed4c60cc980a88716eac7ebfe PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] 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] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] 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] [Pipeline] // withDockerContainer PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] [Pipeline] } PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] [Pipeline] // stage [Pipeline] } PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-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] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g0] 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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-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 PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] 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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-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] 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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] 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] 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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/nccl'... PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-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 [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 88%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (U...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (U...) [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 89%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g1] 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] PASSED [ 53%]PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g0] 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/phmap'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe'... 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] 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 [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/thrust'... PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-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 [ 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 [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm'... PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] 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] PASSED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp4-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g1] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/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-4700@4/third_party/METIS/GKlib'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-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] 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 [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] 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-4700@4/third_party/tensorpipe/third_party/googletest'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe/third_party/libnop'... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe/third_party/libuv'... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g1] PASSED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tensorpipe/third_party/pybind11'... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g1] 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' PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] 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-4700@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-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-4700@4/third_party/thrust/dependencies/cub'... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 89%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 90%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 90%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 90%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 90%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 90%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] PASSED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-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] 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-4700@4/third_party/tvm/3rdparty/dlpack'... PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] PASSED [ 90%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%]Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/rang'... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g1] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4700@4/third_party/tvm/3rdparty/vta-hw'... 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 [ 90%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 90%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 90%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 90%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 90%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (g...) [ 90%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 90%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 90%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] 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tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-2] SKIPPED [ 95%]PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-2] SKIPPED [ 95%] 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tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-2] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-None] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-2] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-None] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-2] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-None] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-2] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-None] SKIPPED [ 97%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-2] SKIPPED [ 97%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 97%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 98%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-None] SKIPPED [ 98%] 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tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 99%] 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] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g1] 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 [ 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] /root/jenkins/workspace/dgl_PR-4700@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-4700@3/pytest_backend.xml - ============================ slowest 100 durations ============================= 20.94s call tests/pytorch/test_dist_optim.py::test_sparse_opt 19.88s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 6.07s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 5.68s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 4.03s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 3.64s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 3.42s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 3.38s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 3.34s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 3.25s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 3.21s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 3.01s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.97s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 2.87s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 2.76s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 2.76s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 2.43s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 2.35s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 2.27s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 2.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 2.09s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 2.06s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.95s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.93s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 1.85s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] 1.80s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] 1.79s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 1.76s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 1.69s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 1.64s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 1.62s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] 1.62s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 1.61s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 1.61s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.59s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.56s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] 1.56s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] 1.56s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 1.52s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.47s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] 1.46s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 1.46s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.46s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] 1.43s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 1.43s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] 1.42s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] 1.42s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] 1.39s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 1.34s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 1.33s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] 1.30s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 1.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] 1.25s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.20s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] 1.19s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] 1.19s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] 1.15s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.14s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] 1.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.11s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] 1.10s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 1.09s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] 1.07s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 1.06s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] 1.05s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] 1.04s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] 1.01s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.00s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] 1.00s call tests/pytorch/test_ipc.py::test_torch_ipc 0.99s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 0.98s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] 0.96s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] 0.96s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.95s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 0.95s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] 0.94s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] 0.93s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] 0.92s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] 0.92s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] 0.91s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] 0.91s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] 0.91s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] 0.87s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] 0.87s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] 0.87s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] 0.86s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] 0.85s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] 0.85s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] 0.84s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.84s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] 0.84s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] 0.83s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] 0.83s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 0.82s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] 0.81s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] 0.80s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] 0.80s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] 0.80s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] ========= 3732 passed, 359 skipped, 468 warnings in 473.72s (0:07:53) ========== Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] [Pipeline] } + bash tests/scripts/task_go_test.sh [Pipeline] // timeout [Pipeline] } 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] [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh ~/jenkins/workspace/dgl_PR-4700@4/dglgo ~/jenkins/workspace/dgl_PR-4700@4 PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] + 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 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 [ 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g0] running install running bdist_egg 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g1] running egg_info creating dglgo.egg-info writing dglgo.egg-info/PKG-INFO writing dependency_links to dglgo.egg-info/dependency_links.txt 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] writing entry points to dglgo.egg-info/entry_points.txt PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] writing requirements to dglgo.egg-info/requires.txt 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 PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] 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 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 [ 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-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@6a5b975c; 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 [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] Fetching without tags 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g1] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) 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] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 Commit message: "Merge branch 'master' into part17_" Cleaning workspace 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g1] [Pipeline] sh 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] Downloading https://files.pythonhosted.org/packages/8f/82/f26ed8d8c943235a1700b3e09f98d2c18f7e6b9eb0839460d8b3b5c26671/rdkit_pypi-2022.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=de4a4492a812724037fea086b4e6677124ca91a10fa196d83b9c8acac7c64d5d > 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 PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] Best match: rdkit-pypi 2022.3.5 Processing rdkit_pypi-2022.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing rdkit_pypi-2022.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g1] 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g0] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Adding rdkit-pypi 2022.3.5 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/rdkit_pypi-2022.3.5-py3.7-linux-x86_64.egg Searching for PyYAML>=5.1 Reading https://pypi.org/simple/PyYAML/ PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g0] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g1] Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g0] Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-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' PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-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] { [Pipeline] sh 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] Downloading https://files.pythonhosted.org/packages/eb/5f/6e6fe6904e1a9c67bc2ca5629a69e7a5a0b17f079da838bab98a1e548b25/PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl#sha256=231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9 Best match: PyYAML 6.0 Processing PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl Installing PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages + bash tests/scripts/task_example_test.sh cpu PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g0] Adding PyYAML 6.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/PyYAML-6.0-py3.7-linux-x86_64.egg Searching for ruamel.yaml>=0.17.20 Reading https://pypi.org/simple/ruamel.yaml/ PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g0] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g1] /root/jenkins/workspace/dgl_PR-4700@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([0.0091, 0.0082, 0.0115, 0.0095, 0.0065, 0.0159, 0.0125, 0.0072, 0.0083, 0.0101, 0.0110, 0.0090, 0.0120, 0.0084, 0.0083, 0.0055, 0.0064, 0.0132, 0.0109, 0.0064, 0.0053, 0.0098, 0.0085, 0.0119, 0.0113, 0.0153, 0.0152, 0.0201, 0.0147, 0.0195, 0.0033, 0.0128, 0.0131, 0.0179, 0.0089, 0.0112, 0.0097, 0.0145, 0.0134, 0.0098, 0.0064, 0.0084, 0.0033, 0.0070, 0.0113, 0.0049, 0.0101, 0.0084, 0.0077, 0.0135, 0.0072, 0.0082, 0.0081, 0.0140, 0.0144, 0.0063, 0.0113, 0.0033, 0.0082, 0.0071, 0.0112, 0.0086, 0.0053, 0.0126, 0.0065, 0.0122, 0.0079, 0.0036, 0.0062, 0.0163, 0.0079, 0.0067, 0.0145, 0.0097, 0.0096, 0.0078, 0.0074, 0.0126, 0.0067, 0.0166, 0.0131, 0.0051, 0.0089, 0.0102, 0.0082, 0.0112, 0.0032, 0.0128, 0.0124, 0.0116, 0.0068, 0.0130, 0.0124, 0.0154, 0.0079, 0.0110, 0.0086, 0.0147, 0.0065, 0.0118]) 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g1] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g1] PASSED [ 40%]PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g1] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp2-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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4700@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@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 1.9466 | Accuracy 0.1600 Epoch 00001 | Loss 1.9415 | Accuracy 0.2920 Epoch 00002 | Loss 1.9361 | Accuracy 0.4320 Epoch 00003 | Loss 1.9297 | Accuracy 0.4680 Epoch 00004 | Loss 1.9213 | Accuracy 0.4060 Epoch 00005 | Loss 1.9135 | Accuracy 0.4220 Epoch 00006 | Loss 1.9086 | Accuracy 0.4380 Epoch 00007 | Loss 1.9000 | Accuracy 0.5000 Epoch 00008 | Loss 1.8883 | Accuracy 0.5660 Epoch 00009 | Loss 1.8805 | Accuracy 0.6100 Epoch 00010 | Loss 1.8691 | Accuracy 0.6340 Epoch 00011 | Loss 1.8516 | Accuracy 0.6520 Epoch 00012 | Loss 1.8540 | Accuracy 0.6440 Epoch 00013 | Loss 1.8465 | Accuracy 0.6380 Epoch 00014 | Loss 1.8265 | Accuracy 0.6440 Epoch 00015 | Loss 1.8068 | Accuracy 0.6480 Epoch 00016 | Loss 1.8091 | Accuracy 0.6440 Epoch 00017 | Loss 1.7950 | Accuracy 0.6520 Epoch 00018 | Loss 1.7715 | Accuracy 0.6580 Epoch 00019 | Loss 1.7659 | Accuracy 0.6660 Epoch 00020 | Loss 1.7427 | Accuracy 0.6640 Epoch 00021 | Loss 1.7386 | Accuracy 0.6820 Epoch 00022 | Loss 1.7323 | Accuracy 0.6880 Epoch 00023 | Loss 1.7086 | Accuracy 0.6940 Epoch 00024 | Loss 1.6962 | Accuracy 0.7000 Epoch 00025 | Loss 1.6817 | Accuracy 0.7000 Epoch 00026 | Loss 1.6625 | Accuracy 0.7000 Epoch 00027 | Loss 1.6240 | Accuracy 0.7000 Epoch 00028 | Loss 1.6126 | Accuracy 0.6980 Epoch 00029 | Loss 1.5983 | Accuracy 0.7000 Epoch 00030 | Loss 1.5970 | Accuracy 0.6960 Epoch 00031 | Loss 1.5804 | Accuracy 0.6960 Epoch 00032 | Loss 1.5513 | Accuracy 0.6980 Epoch 00033 | Loss 1.5522 | Accuracy 0.7040 Epoch 00034 | Loss 1.5349 | Accuracy 0.7060 Epoch 00035 | Loss 1.4808 | Accuracy 0.7100 Epoch 00036 | Loss 1.4910 | Accuracy 0.7200 Epoch 00037 | Loss 1.5022 | Accuracy 0.7220 Epoch 00038 | Loss 1.4421 | Accuracy 0.7280 Epoch 00039 | Loss 1.4184 | Accuracy 0.7300 Epoch 00040 | Loss 1.3891 | Accuracy 0.7300 Epoch 00041 | Loss 1.3914 | Accuracy 0.7320 Epoch 00042 | Loss 1.3490 | Accuracy 0.7320 Epoch 00043 | Loss 1.3321 | Accuracy 0.7380 Epoch 00044 | Loss 1.3297 | Accuracy 0.7400 Epoch 00045 | Loss 1.3118 | Accuracy 0.7420 Epoch 00046 | Loss 1.3087 | Accuracy 0.7480 Epoch 00047 | Loss 1.2638 | Accuracy 0.7520 Epoch 00048 | Loss 1.2106 | Accuracy 0.7520 Epoch 00049 | Loss 1.2176 | Accuracy 0.7560 Epoch 00050 | Loss 1.2076 | Accuracy 0.7600 Epoch 00051 | Loss 1.1763 | Accuracy 0.7580 Epoch 00052 | Loss 1.1963 | Accuracy 0.7580 Epoch 00053 | Loss 1.1435 | Accuracy 0.7640 Epoch 00054 | Loss 1.1157 | Accuracy 0.7660 Epoch 00055 | Loss 1.0976 | Accuracy 0.7680 Epoch 00056 | Loss 1.1033 | Accuracy 0.7680 Epoch 00057 | Loss 1.0949 | Accuracy 0.7700 Epoch 00058 | Loss 1.0964 | Accuracy 0.7680 Epoch 00059 | Loss 1.0458 | Accuracy 0.7680 Epoch 00060 | Loss 1.0084 | Accuracy 0.7720 Epoch 00061 | Loss 0.9850 | Accuracy 0.7720 Epoch 00062 | Loss 0.9910 | Accuracy 0.7720 Epoch 00063 | Loss 1.0092 | Accuracy 0.7700 Epoch 00064 | Loss 0.9681 | Accuracy 0.7700 Epoch 00065 | Loss 0.9355 | Accuracy 0.7700 Epoch 00066 | Loss 0.9614 | Accuracy 0.7720 Epoch 00067 | Loss 0.9338 | Accuracy 0.7740 Epoch 00068 | Loss 0.9713 | Accuracy 0.7760 Epoch 00069 | Loss 0.8783 | Accuracy 0.7760 Epoch 00070 | Loss 0.9097 | Accuracy 0.7760 Epoch 00071 | Loss 0.8539 | Accuracy 0.7780 Epoch 00072 | Loss 0.8539 | Accuracy 0.7800 Epoch 00073 | Loss 0.8455 | Accuracy 0.7760 Epoch 00074 | Loss 0.8072 | Accuracy 0.7800 Epoch 00075 | Loss 0.8255 | Accuracy 0.7880 Epoch 00076 | Loss 0.7984 | Accuracy 0.7920 Epoch 00077 | Loss 0.8317 | Accuracy 0.7900 Epoch 00078 | Loss 0.8045 | Accuracy 0.7900 Epoch 00079 | Loss 0.7743 | Accuracy 0.7920 Epoch 00080 | Loss 0.7511 | Accuracy 0.7880 Epoch 00081 | Loss 0.7295 | Accuracy 0.7860 Epoch 00082 | Loss 0.7739 | Accuracy 0.7840 Epoch 00083 | Loss 0.7431 | Accuracy 0.7860 Epoch 00084 | Loss 0.7371 | Accuracy 0.7840 Epoch 00085 | Loss 0.7330 | Accuracy 0.7840 Epoch 00086 | Loss 0.7296 | Accuracy 0.7880 Epoch 00087 | Loss 0.6966 | Accuracy 0.7960 Epoch 00088 | Loss 0.7206 | Accuracy 0.7940 Epoch 00089 | Loss 0.7258 | Accuracy 0.7960 Epoch 00090 | Loss 0.6539 | Accuracy 0.7940 Epoch 00091 | Loss 0.6753 | Accuracy 0.7900 Epoch 00092 | Loss 0.6962 | Accuracy 0.7860 Epoch 00093 | Loss 0.6122 | Accuracy 0.7820 Epoch 00094 | Loss 0.6188 | Accuracy 0.7840 Epoch 00095 | Loss 0.6406 | Accuracy 0.7880 Epoch 00096 | Loss 0.6412 | Accuracy 0.7900 Epoch 00097 | Loss 0.6468 | Accuracy 0.7920 Epoch 00098 | Loss 0.6117 | Accuracy 0.7940 Epoch 00099 | Loss 0.5869 | Accuracy 0.7920 Epoch 00100 | Loss 0.6323 | Accuracy 0.7920 Epoch 00101 | Loss 0.6068 | Accuracy 0.7900 Epoch 00102 | Loss 0.6395 | Accuracy 0.7880 Epoch 00103 | Loss 0.6043 | Accuracy 0.7820 Epoch 00104 | Loss 0.6105 | Accuracy 0.7820 Epoch 00105 | Loss 0.5867 | Accuracy 0.7800 Epoch 00106 | Loss 0.6103 | Accuracy 0.7840 Epoch 00107 | Loss 0.6216 | Accuracy 0.7860 Epoch 00108 | Loss 0.5542 | Accuracy 0.7900 Epoch 00109 | Loss 0.5768 | Accuracy 0.7920 Epoch 00110 | Loss 0.5473 | Accuracy 0.7920 Epoch 00111 | Loss 0.6032 | Accuracy 0.7940 Epoch 00112 | Loss 0.5971 | Accuracy 0.7940 Epoch 00113 | Loss 0.5569 | Accuracy 0.7960 Epoch 00114 | Loss 0.5032 | Accuracy 0.7960 Epoch 00115 | Loss 0.5302 | Accuracy 0.7980 Epoch 00116 | Loss 0.5737 | Accuracy 0.7980 Epoch 00117 | Loss 0.5144 | Accuracy 0.7960 Epoch 00118 | Loss 0.5143 | Accuracy 0.7960 Epoch 00119 | Loss 0.5268 | Accuracy 0.7960 Epoch 00120 | Loss 0.5274 | Accuracy 0.7960 Epoch 00121 | Loss 0.5002 | Accuracy 0.7940 Epoch 00122 | Loss 0.5207 | Accuracy 0.7900 Epoch 00123 | Loss 0.5085 | Accuracy 0.7920 Epoch 00124 | Loss 0.5183 | Accuracy 0.7960 Epoch 00125 | Loss 0.4767 | Accuracy 0.7920 Epoch 00126 | Loss 0.5171 | Accuracy 0.7940 Epoch 00127 | Loss 0.4603 | Accuracy 0.7900 Epoch 00128 | Loss 0.4607 | Accuracy 0.7920 Epoch 00129 | Loss 0.5061 | Accuracy 0.7960 Epoch 00130 | Loss 0.4704 | Accuracy 0.7960 Epoch 00131 | Loss 0.4897 | Accuracy 0.7960 Epoch 00132 | Loss 0.4724 | Accuracy 0.7940 Epoch 00133 | Loss 0.4655 | Accuracy 0.7940 Epoch 00134 | Loss 0.4750 | Accuracy 0.7940 Epoch 00135 | Loss 0.4924 | Accuracy 0.7940 Epoch 00136 | Loss 0.4809 | Accuracy 0.7980 Epoch 00137 | Loss 0.4382 | Accuracy 0.7940 Epoch 00138 | Loss 0.4778 | Accuracy 0.7940 Epoch 00139 | Loss 0.4976 | Accuracy 0.7940 Epoch 00140 | Loss 0.4910 | Accuracy 0.7940 Epoch 00141 | Loss 0.4405 | Accuracy 0.7960 Epoch 00142 | Loss 0.4303 | Accuracy 0.7960 Epoch 00143 | Loss 0.4331 | Accuracy 0.7980 Epoch 00144 | Loss 0.4806 | Accuracy 0.7960 Epoch 00145 | Loss 0.4430 | Accuracy 0.8000 Epoch 00146 | Loss 0.4451 | Accuracy 0.8000 Epoch 00147 | Loss 0.4255 | Accuracy 0.7980 Epoch 00148 | Loss 0.4623 | Accuracy 0.7980 Epoch 00149 | Loss 0.4700 | Accuracy 0.7960 Epoch 00150 | Loss 0.4642 | Accuracy 0.7940 Epoch 00151 | Loss 0.3958 | Accuracy 0.7960 Epoch 00152 | Loss 0.4234 | Accuracy 0.8000 Epoch 00153 | Loss 0.4750 | Accuracy 0.8040 Epoch 00154 | Loss 0.4338 | Accuracy 0.8040 Epoch 00155 | Loss 0.4441 | Accuracy 0.8060 Epoch 00156 | Loss 0.4482 | Accuracy 0.8100 Epoch 00157 | Loss 0.4263 | Accuracy 0.8080 Epoch 00158 | Loss 0.4116 | Accuracy 0.8040 Epoch 00159 | Loss 0.4457 | Accuracy 0.8040 Epoch 00160 | Loss 0.4139 | Accuracy 0.8040 Epoch 00161 | Loss 0.4185 | Accuracy 0.8060 Epoch 00162 | Loss 0.4125 | Accuracy 0.8020 Epoch 00163 | Loss 0.4118 | Accuracy 0.8020 Epoch 00164 | Loss 0.4002 | Accuracy 0.8000 Epoch 00165 | Loss 0.3996 | Accuracy 0.7980 Epoch 00166 | Loss 0.4474 | Accuracy 0.7980 Epoch 00167 | Loss 0.4127 | Accuracy 0.7960 Epoch 00168 | Loss 0.3837 | Accuracy 0.7980 Epoch 00169 | Loss 0.4183 | Accuracy 0.7980 Epoch 00170 | Loss 0.4470 | Accuracy 0.8000 Epoch 00171 | Loss 0.4040 | Accuracy 0.8080 Epoch 00172 | Loss 0.3802 | Accuracy 0.8080 Epoch 00173 | Loss 0.3883 | Accuracy 0.8060 Epoch 00174 | Loss 0.3890 | Accuracy 0.8080 Epoch 00175 | Loss 0.3896 | Accuracy 0.8080 Epoch 00176 | Loss 0.4097 | Accuracy 0.8100 Epoch 00177 | Loss 0.4412 | Accuracy 0.8040 Epoch 00178 | Loss 0.4188 | Accuracy 0.8060 Epoch 00179 | Loss 0.4232 | Accuracy 0.8060 Epoch 00180 | Loss 0.3540 | Accuracy 0.8040 Epoch 00181 | Loss 0.3748 | Accuracy 0.8040 Epoch 00182 | Loss 0.4021 | Accuracy 0.8020 Epoch 00183 | Loss 0.3496 | Accuracy 0.8020 Epoch 00184 | Loss 0.4021 | Accuracy 0.8020 Epoch 00185 | Loss 0.3676 | Accuracy 0.8000 Epoch 00186 | Loss 0.3341 | Accuracy 0.8000 Epoch 00187 | Loss 0.4023 | Accuracy 0.8000 Epoch 00188 | Loss 0.4064 | Accuracy 0.8000 Epoch 00189 | Loss 0.3542 | Accuracy 0.8000 Epoch 00190 | Loss 0.4115 | Accuracy 0.8000 Epoch 00191 | Loss 0.3866 | Accuracy 0.7980 Epoch 00192 | Loss 0.3805 | Accuracy 0.7980 Epoch 00193 | Loss 0.3773 | Accuracy 0.7980 Epoch 00194 | Loss 0.3799 | Accuracy 0.7980 Epoch 00195 | Loss 0.3986 | Accuracy 0.7980 Epoch 00196 | Loss 0.3413 | Accuracy 0.8040 Epoch 00197 | Loss 0.3562 | Accuracy 0.8000 Epoch 00198 | Loss 0.3536 | Accuracy 0.8000 Epoch 00199 | Loss 0.3432 | Accuracy 0.8020 Testing... Test accuracy 0.7940 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp4-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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp0-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, 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, 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, 4.5619e-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, 4.5619e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp1-g1] [Pipeline] } [Pipeline] // timeout 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] [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) [Pipeline] sh PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] + 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp3-g1] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp4-g0] [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@b103038; 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp0-g0] Fetching without tags PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp0-g1] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee 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] Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4700@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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp1-g1] Commit message: "Merge branch 'master' into part17_" Cleaning workspace PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] [Pipeline] sh 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp2-g1] + git submodule update --recursive --init PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp3-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' 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] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp1-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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp2-g1] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-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' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g0] Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g1] Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp1-g1] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp2-g0] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp2-g1] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp4-g1] + bash tests/scripts/task_pytorch_tutorial_test.sh PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g1] 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 8.5 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) Collecting pygraphviz Downloading pygraphviz-1.7.zip (118 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.8/118.8 kB 18.2 MB/s eta 0:00:00 Preparing metadata (setup.py): started PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g0] PASSED [ 44%]PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g1] PASSED [ 44%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] Adding ruamel.yaml.clib 0.2.6 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml.clib-0.2.6-py3.7-linux-x86_64.egg Searching for Jinja2>=2.10 Reading https://pypi.org/simple/Jinja2/ PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] Downloading https://files.pythonhosted.org/packages/bc/c3/f068337a370801f372f2f8f6bad74a5c140f6fda3d9de154052708dd3c65/Jinja2-3.1.2-py3-none-any.whl#sha256=6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61 Best match: Jinja2 3.1.2 Processing Jinja2-3.1.2-py3-none-any.whl Installing Jinja2-3.1.2-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-shp4-g0] 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This might take a while. Processing graphs... 0%| | 0/1 [00:00=2.9.1 Reading https://pypi.org/simple/pycodestyle/ Downloading https://files.pythonhosted.org/packages/67/e4/fc77f1039c34b3612c4867b69cbb2b8a4e569720b1f19b0637002ee03aff/pycodestyle-2.9.1-py2.py3-none-any.whl#sha256=d1735fc58b418fd7c5f658d28d943854f8a849b01a5d0a1e6f3f3fdd0166804b Best match: pycodestyle 2.9.1 Processing pycodestyle-2.9.1-py2.py3-none-any.whl 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] Installing pycodestyle-2.9.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Running tutorial ./models/1_gnn/4_rgcn.py ... 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tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g1] 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] Downloading https://files.pythonhosted.org/packages/9f/83/b221ce5a0224f409b9f02b0dc6cb0b921c46033f4870d64fa3e8a96af701/MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37 Best match: 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g1] PASSED [ 72%]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/ tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-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 [ 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 [ 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] Adding imagesize 1.4.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/imagesize-1.4.1-py3.7.egg Searching for alabaster<0.8,>=0.7 Reading https://pypi.org/simple/alabaster/ 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] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] Downloading https://files.pythonhosted.org/packages/10/ad/00b090d23a222943eb0eda509720a404f531a439e803f6538f35136cae9e/alabaster-0.7.12-py2.py3-none-any.whl#sha256=446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] Downloading 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g1] /root/jenkins/workspace/dgl_PR-4700@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 /root/jenkins/workspace/dgl_PR-4700@3/aifb.tgz from https://data.dgl.ai/dataset/aifb.tgz... Extracting file to /root/jenkins/workspace/dgl_PR-4700@3/aifb Loading dataset aifb Graph loaded, frequencies counted. Number of nodes: 8285 Number of relations: 91 Number of edges: 66371 4 classes: {'http://www.aifb.uni-karlsruhe.de/Forschungsgruppen/viewForschungsgruppeOWL/id1instance', 'http://www.aifb.uni-karlsruhe.de/Forschungsgruppen/viewForschungsgruppeOWL/id4instance', 'http://www.aifb.uni-karlsruhe.de/Forschungsgruppen/viewForschungsgruppeOWL/id2instance', 'http://www.aifb.uni-karlsruhe.de/Forschungsgruppen/viewForschungsgruppeOWL/id3instance'} Loading training set Loading test set Number of classes: 4 removing nodes that are more than 3 hops away start training... Epoch 00000 | Train Accuracy: 0.2768 | Train Loss: 1.3859 | Validation Accuracy: 0.2857 | Validation loss: 1.3858 Epoch 00001 | Train Accuracy: 0.9643 | Train Loss: 1.3423 | Validation Accuracy: 0.9643 | Validation loss: 1.3565 Epoch 00002 | Train Accuracy: 0.9732 | Train Loss: 1.2740 | Validation Accuracy: 0.9643 | Validation loss: 1.3116 Epoch 00003 | Train Accuracy: 0.9732 | Train Loss: 1.1853 | Validation Accuracy: 0.9643 | Validation loss: 1.2505 Epoch 00004 | Train Accuracy: 0.9732 | Train Loss: 1.0932 | Validation Accuracy: 0.9643 | Validation loss: 1.1775 Epoch 00005 | Train Accuracy: 0.9732 | Train Loss: 1.0128 | Validation Accuracy: 0.9643 | Validation loss: 1.0996 Epoch 00006 | Train Accuracy: 0.9732 | Train Loss: 0.9482 | Validation Accuracy: 0.9643 | Validation loss: 1.0254 Epoch 00007 | Train Accuracy: 0.9732 | Train Loss: 0.8984 | Validation Accuracy: 0.9643 | Validation loss: 0.9612 Epoch 00008 | Train Accuracy: 0.9732 | Train Loss: 0.8612 | Validation Accuracy: 0.9643 | Validation loss: 0.9103 Epoch 00009 | Train Accuracy: 0.9732 | Train Loss: 0.8338 | Validation Accuracy: 0.9643 | Validation loss: 0.8718 Epoch 00010 | Train Accuracy: 0.9732 | Train Loss: 0.8140 | Validation Accuracy: 0.9643 | Validation loss: 0.8437 Epoch 00011 | Train Accuracy: 0.9732 | Train Loss: 0.8000 | Validation Accuracy: 0.9643 | Validation loss: 0.8236 Epoch 00012 | Train Accuracy: 0.9732 | Train Loss: 0.7900 | Validation Accuracy: 0.9643 | Validation loss: 0.8096 Epoch 00013 | Train Accuracy: 0.9732 | Train Loss: 0.7830 | Validation Accuracy: 0.9643 | Validation loss: 0.8000 Epoch 00014 | Train Accuracy: 0.9732 | Train Loss: 0.7778 | Validation Accuracy: 0.9643 | Validation loss: 0.7935 Epoch 00015 | Train Accuracy: 0.9821 | Train Loss: 0.7737 | Validation Accuracy: 0.9643 | Validation loss: 0.7893 Epoch 00016 | Train Accuracy: 0.9821 | Train Loss: 0.7704 | Validation Accuracy: 0.9643 | Validation loss: 0.7865 Epoch 00017 | Train Accuracy: 0.9821 | Train Loss: 0.7675 | Validation Accuracy: 0.9643 | Validation loss: 0.7848 Epoch 00018 | Train Accuracy: 0.9821 | Train Loss: 0.7649 | Validation Accuracy: 0.9643 | Validation loss: 0.7837 Epoch 00019 | Train Accuracy: 0.9821 | Train Loss: 0.7627 | Validation Accuracy: 0.9643 | Validation loss: 0.7831 Epoch 00020 | Train Accuracy: 0.9821 | Train Loss: 0.7608 | Validation Accuracy: 0.9643 | Validation loss: 0.7829 Epoch 00021 | Train Accuracy: 0.9821 | Train Loss: 0.7591 | Validation Accuracy: 0.9643 | Validation loss: 0.7830 Epoch 00022 | Train Accuracy: 0.9821 | Train Loss: 0.7573 | Validation Accuracy: 0.9643 | Validation loss: 0.7834 Epoch 00023 | Train Accuracy: 0.9821 | Train Loss: 0.7556 | Validation Accuracy: 0.9643 | Validation loss: 0.7840 Epoch 00024 | Train Accuracy: 0.9821 | Train Loss: 0.7538 | Validation Accuracy: 0.9643 | Validation loss: 0.7850 Running tutorial ./models/1_gnn/6_line_graph.py ... 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] 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,>=0.14 Reading https://pypi.org/simple/docutils/ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-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 [ 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp2-g0] Downloading https://files.pythonhosted.org/packages/4f/82/672cd382e5b39ab1cd422a672382f08a1fb3d08d9e0c0f3707f33a52063b/Pygments-2.13.0-py3-none-any.whl#sha256=f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp3-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/ PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g1] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g1] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp0-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 [ 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] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g1] 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] 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 Installing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g1] 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] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g1] 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 [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g0] 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 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] 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/ PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g1] 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g1] 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, 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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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] 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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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-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 [ 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g0] PASSED [ 18%] tests/go/test_pipeline.py::test_nodepred_data[pubmed] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g1] 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 [ 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 [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] 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 [ 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] 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 [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g0] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 19%] tests/go/test_pipeline.py::test_nodepred_data[csv] 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g0] PASSED [ 82%]PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g0] 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g1] PASSED [ 20%] tests/go/test_pipeline.py::test_nodepred_data[reddit] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] 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 [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-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 [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g1] PASSED [ 63%] 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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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.label will be deprecated, please use g.ndata['label'] instead. old, new Downloading /root/jenkins/workspace/dgl_PR-4700@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@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-4700@3/cora_binary.zip from https://data.dgl.ai/dataset/cora_binary.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@3/cora_binary Done saving data into cached files. Done saving data into cached files. Epoch 0 | loss 0.5833 | accuracy 0.7024 Epoch 1 | loss 0.4996 | accuracy 0.7729 Epoch 2 | loss 0.5089 | accuracy 0.7605 Epoch 3 | loss 0.5104 | accuracy 0.7636 Epoch 4 | loss 0.4773 | accuracy 0.7779 Epoch 5 | loss 0.4644 | accuracy 0.7938 Epoch 6 | loss 0.4517 | accuracy 0.7900 Epoch 7 | loss 0.4629 | accuracy 0.7760 Epoch 8 | loss 0.4583 | accuracy 0.7921 Epoch 9 | loss 0.4325 | accuracy 0.7988 Epoch 10 | loss 0.4652 | accuracy 0.7741 Epoch 11 | loss 0.4465 | accuracy 0.8020 Epoch 12 | loss 0.4476 | accuracy 0.7943 Epoch 13 | loss 0.4398 | accuracy 0.7969 Epoch 14 | loss 0.4389 | accuracy 0.7943 Epoch 15 | loss 0.4563 | accuracy 0.7843 Epoch 16 | loss 0.4402 | accuracy 0.7932 Epoch 17 | loss 0.4526 | accuracy 0.7715 Epoch 18 | loss 0.4241 | accuracy 0.8180 Epoch 19 | loss 0.4224 | accuracy 0.8117 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 1.9528 | Test Acc 0.2450 | Time(s) nan Epoch 00001 | Loss 1.8154 | Test Acc 0.3670 | Time(s) nan Epoch 00002 | Loss 1.6566 | Test Acc 0.4680 | Time(s) nan Epoch 00003 | Loss 1.5197 | Test Acc 0.5550 | Time(s) 0.0040 Epoch 00004 | Loss 1.3979 | Test Acc 0.6080 | Time(s) 0.0060 Epoch 00005 | Loss 1.2902 | Test Acc 0.6520 | Time(s) 0.0053 Epoch 00006 | Loss 1.1901 | Test Acc 0.6820 | Time(s) 0.0049 Epoch 00007 | Loss 1.0948 | Test Acc 0.6990 | Time(s) 0.0047 Epoch 00008 | Loss 1.0066 | Test Acc 0.7040 | Time(s) 0.0046 Epoch 00009 | Loss 0.9253 | Test Acc 0.7060 | Time(s) 0.0044 Epoch 00010 | Loss 0.8488 | Test Acc 0.7100 | Time(s) 0.0043 Epoch 00011 | Loss 0.7758 | Test Acc 0.7130 | Time(s) 0.0042 Epoch 00012 | Loss 0.7077 | Test Acc 0.7150 | Time(s) 0.0042 Epoch 00013 | Loss 0.6457 | Test Acc 0.7190 | Time(s) 0.0041 Epoch 00014 | Loss 0.5899 | Test Acc 0.7260 | Time(s) 0.0041 Epoch 00015 | Loss 0.5393 | Test Acc 0.7330 | Time(s) 0.0041 Epoch 00016 | Loss 0.4927 | Test Acc 0.7370 | Time(s) 0.0040 Epoch 00017 | Loss 0.4493 | Test Acc 0.7360 | Time(s) 0.0040 Epoch 00018 | Loss 0.4094 | Test Acc 0.7450 | Time(s) 0.0042 Epoch 00019 | Loss 0.3737 | Test Acc 0.7520 | Time(s) 0.0042 Epoch 00020 | Loss 0.3419 | Test Acc 0.7510 | Time(s) 0.0042 Epoch 00021 | Loss 0.3132 | Test Acc 0.7530 | Time(s) 0.0041 Epoch 00022 | Loss 0.2871 | Test Acc 0.7560 | Time(s) 0.0041 Epoch 00023 | Loss 0.2630 | Test Acc 0.7540 | Time(s) 0.0041 Epoch 00024 | Loss 0.2408 | Test Acc 0.7570 | Time(s) 0.0040 Epoch 00025 | Loss 0.2203 | Test Acc 0.7550 | Time(s) 0.0040 Epoch 00026 | Loss 0.2017 | Test Acc 0.7520 | Time(s) 0.0040 Epoch 00027 | Loss 0.1846 | Test Acc 0.7530 | Time(s) 0.0040 Epoch 00028 | Loss 0.1690 | Test Acc 0.7540 | Time(s) 0.0040 Epoch 00029 | Loss 0.1549 | Test Acc 0.7550 | Time(s) 0.0040 Epoch 00030 | Loss 0.1420 | Test Acc 0.7550 | Time(s) 0.0039 Epoch 00031 | Loss 0.1302 | Test Acc 0.7600 | Time(s) 0.0039 Epoch 00032 | Loss 0.1195 | Test Acc 0.7600 | Time(s) 0.0039 Epoch 00033 | Loss 0.1098 | Test Acc 0.7560 | Time(s) 0.0039 Epoch 00034 | Loss 0.1009 | Test Acc 0.7550 | Time(s) 0.0039 Epoch 00035 | Loss 0.0928 | Test Acc 0.7560 | Time(s) 0.0039 Epoch 00036 | Loss 0.0854 | Test Acc 0.7560 | Time(s) 0.0039 Epoch 00037 | Loss 0.0786 | Test Acc 0.7570 | Time(s) 0.0039 Epoch 00038 | Loss 0.0725 | Test Acc 0.7580 | Time(s) 0.0039 Epoch 00039 | Loss 0.0669 | Test Acc 0.7570 | Time(s) 0.0039 Epoch 00040 | Loss 0.0618 | Test Acc 0.7570 | Time(s) 0.0039 Epoch 00041 | Loss 0.0572 | Test Acc 0.7570 | Time(s) 0.0039 Epoch 00042 | Loss 0.0530 | Test Acc 0.7570 | Time(s) 0.0039 Epoch 00043 | Loss 0.0492 | Test Acc 0.7580 | Time(s) 0.0040 Epoch 00044 | Loss 0.0458 | Test Acc 0.7580 | Time(s) 0.0040 Epoch 00045 | Loss 0.0426 | Test Acc 0.7560 | Time(s) 0.0040 Epoch 00046 | Loss 0.0397 | Test Acc 0.7570 | Time(s) 0.0055 Epoch 00047 | Loss 0.0371 | Test Acc 0.7550 | Time(s) 0.0055 Epoch 00048 | Loss 0.0347 | Test Acc 0.7530 | Time(s) 0.0055 Epoch 00049 | Loss 0.0325 | Test Acc 0.7530 | Time(s) 0.0054 Running tutorial ./models/1_gnn/9_gat.py ... 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tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-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 [ 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 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 [ 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-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 [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g1] 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 25%] tests/go/test_pipeline.py::test_nodepred_model[gcn] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-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] 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g1] 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 [ 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 [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] 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 [ 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 [ 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 [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-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 [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 27%] tests/go/test_pipeline.py::test_nodepred_model[gat] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 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 [ 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 [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] 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 [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-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 [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] 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 [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-v-shp3-g1] PASSED [ 28%] tests/go/test_pipeline.py::test_nodepred_model[sage] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] 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 [ 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%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] SKIPPED [ 94%] 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[ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 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 [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 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 [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins 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 [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] 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] /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.feat will be deprecated, please use g.ndata['feat'] instead. old, new /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.label will be deprecated, please use g.ndata['label'] instead. old, new /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.train_mask will be deprecated, please use g.ndata['train_mask'] instead. old, new /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 1.9484 | Time(s) nan Epoch 00001 | Loss 1.9465 | Time(s) nan Epoch 00002 | Loss 1.9446 | Time(s) nan Epoch 00003 | Loss 1.9427 | Time(s) 1.2734 Epoch 00004 | Loss 1.9408 | Time(s) 1.2745 Epoch 00005 | Loss 1.9389 | Time(s) 1.3370 Epoch 00006 | Loss 1.9370 | Time(s) 1.2942 Epoch 00007 | Loss 1.9351 | Time(s) 1.2814 Epoch 00008 | Loss 1.9331 | Time(s) 1.2870 Epoch 00009 | Loss 1.9312 | Time(s) 1.2364 Epoch 00010 | Loss 1.9293 | Time(s) 1.1876 Epoch 00011 | Loss 1.9274 | Time(s) 1.1856 Epoch 00012 | Loss 1.9254 | Time(s) 1.1561 Epoch 00013 | Loss 1.9235 | Time(s) 1.1389 Epoch 00014 | Loss 1.9215 | Time(s) 1.1363 Epoch 00015 | Loss 1.9196 | Time(s) 1.1144 Epoch 00016 | Loss 1.9176 | Time(s) 1.1414 Epoch 00017 | Loss 1.9156 | Time(s) 1.1753 Epoch 00018 | Loss 1.9136 | Time(s) 1.1751 Epoch 00019 | Loss 1.9116 | Time(s) 1.1550 Epoch 00020 | Loss 1.9096 | Time(s) 1.1408 Epoch 00021 | Loss 1.9076 | Time(s) 1.1440 Epoch 00022 | Loss 1.9055 | Time(s) 1.1445 Epoch 00023 | Loss 1.9035 | Time(s) 1.1574 Epoch 00024 | Loss 1.9014 | Time(s) 1.1421 Epoch 00025 | Loss 1.8993 | Time(s) 1.1393 Epoch 00026 | Loss 1.8973 | Time(s) 1.1410 Epoch 00027 | Loss 1.8952 | Time(s) 1.1310 Epoch 00028 | Loss 1.8931 | Time(s) 1.1353 Epoch 00029 | Loss 1.8909 | Time(s) 1.1416 Running tutorial ./models/4_old_wines/7_transformer.py ... Running tutorial ./models/4_old_wines/2_capsule.py ... /root/jenkins/workspace/dgl_PR-4700@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)`' Running tutorial ./models/2_small_graph/3_tree-lstm.py ... PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] 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 [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] 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 [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] 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 [ 29%] tests/go/test_pipeline.py::test_nodepred_model[sgc] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 75%] 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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 [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 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] /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.trees will be deprecated, please use [dataset[i] for i in len(dataset)] instead. old, new /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.num_vocabs will be deprecated, please use dataset.vocab_size instead. old, new /root/jenkins/workspace/dgl_PR-4700@3/python/dgl/data/utils.py:336: UserWarning: Property dataset.num_vocabs will be deprecated, please use dataset.vocab_size instead. old, new /root/jenkins/workspace/dgl_PR-4700@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-4700@3/sst.zip from https://data.dgl.ai/dataset/sst.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@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 443.3306 | Acc 0.1648 | Epoch 00001 | Step 00000 | Loss 279.2335 | Acc 0.7509 | Epoch 00002 | Step 00000 | Loss 1319.1041 | Acc 0.2418 | Epoch 00003 | Step 00000 | Loss 391.7425 | Acc 0.5165 | Epoch 00004 | Step 00000 | Loss 194.9707 | Acc 0.8059 | Epoch 00005 | Step 00000 | Loss 404.7148 | Acc 0.6703 | Epoch 00006 | Step 00000 | Loss 160.7916 | Acc 0.8352 | Epoch 00007 | Step 00000 | Loss 117.3667 | Acc 0.8901 | Epoch 00008 | Step 00000 | Loss 89.1484 | Acc 0.9267 | Epoch 00009 | Step 00000 | Loss 71.2352 | Acc 0.9341 | Running tutorial ./models/3_generative_model/5_dgmg.py ... /root/jenkins/workspace/dgl_PR-4700@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= 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@2/python/dgl/data/citation_graph.py:287: 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@2/pytest_compute.xml - ============================ slowest 100 durations ============================= 207.56s call tests/compute/test_kernel.py::test_all_binary_builtins 67.48s call tests/compute/test_data.py::test_reddit 54.92s call tests/compute/test_data.py::test_gin 36.79s call tests/compute/test_data.py::test_fakenews 35.03s call tests/compute/test_data.py::test_as_graphpred 14.71s call tests/compute/test_data.py::test_explain_syn 11.50s call tests/compute/test_data.py::test_as_graphpred_reprocess 11.07s call tests/compute/test_data.py::test_tudataset_regression 9.92s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 9.11s call tests/compute/test_data.py::test_gnn_benchmark 8.07s call tests/compute/test_transform.py::test_metis_partition[idtype1] 6.29s call tests/compute/test_kernel.py::test_copy_src_reduce 5.58s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 5.42s call tests/compute/test_graph.py::test_query 5.41s call tests/compute/test_kernel.py::test_copy_edge_reduce 5.29s call tests/compute/test_heterograph.py::test_query[idtype1] 5.26s call tests/compute/test_sampling.py::test_sample_neighbors_prob 4.89s call tests/compute/test_heterograph.py::test_query[idtype0] 4.35s call tests/compute/test_data.py::test_citation_graph 3.60s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 3.57s call tests/compute/test_heterograph.py::test_updates[idtype0] 3.46s call tests/compute/test_heterograph.py::test_updates[idtype1] 3.45s call tests/compute/test_data.py::test_fraud 3.10s call tests/compute/test_data.py::test_add_nodepred_split 2.94s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 2.82s call tests/compute/test_data.py::test_wiki_cs 2.73s call tests/compute/test_heterograph.py::test_forking_pickler 2.69s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 2.59s call tests/compute/test_heterograph.py::test_level2[idtype1] 2.51s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 2.50s call tests/compute/test_heterograph.py::test_level2[idtype0] 2.17s call tests/compute/test_data.py::test_csvdataset 2.08s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 2.04s call tests/compute/test_data.py::test_flickr 2.04s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 2.02s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 1.72s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] 1.67s call tests/compute/test_heterograph.py::test_format[idtype1] 1.62s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] 1.60s call tests/compute/test_heterograph.py::test_format[idtype0] 1.57s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.55s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.52s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] 1.50s call tests/compute/test_transform.py::test_partition_with_halo 1.49s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] 1.46s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] 1.44s call tests/compute/test_transform.py::test_reorder_nodes 1.44s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.40s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.35s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 1.35s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] 1.30s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 1.29s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] 1.24s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 1.23s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] 1.21s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 1.20s call tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] 1.17s call tests/compute/test_data.py::test_minigc 1.17s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] 1.14s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] 1.11s call tests/compute/test_subgraph.py::test_in_subgraph[idtype0] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] 1.10s call tests/compute/test_sampling.py::test_sample_neighbors_topk 1.09s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 1.08s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] 1.07s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] 1.06s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] 1.04s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] 1.04s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] 1.03s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] 1.02s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] 1.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 1.01s call tests/compute/test_basics.py::test_update_routines[idtype0] 1.00s call tests/compute/test_basics.py::test_update_routines[idtype1] 1.00s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] 1.00s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] 0.99s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] 0.99s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] 0.98s call tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 0.97s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] 0.95s call tests/compute/test_subgraph.py::test_out_subgraph[idtype1] 0.95s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] 0.94s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.94s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] 0.94s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.93s call tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] 0.93s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] 0.92s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.90s call tests/compute/test_transform.py::test_khop_graph 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] ========= 2308 passed, 130 skipped, 236 warnings in 1140.36s (0:19:00) ========= 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] ============================= 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-4700@2 collecting ... 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 [ 37%] tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] 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 [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g1] 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 [ 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 [ 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 [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] 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 [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob 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%]PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g1] 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_prob 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_outedge 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 [ 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 [ 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk 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 [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g0] 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] 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 [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g1] 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] 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 [ 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 [ 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 [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] 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 [ 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 [ 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 [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g0] 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/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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g0] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g1] 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 [ 38%] tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 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 [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g0] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] 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 [ 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 [ 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 [ 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] 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 [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-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] 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 [ 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 [ 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 [ 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] 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 [ 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 [ 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-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 [ 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 [ 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 [ 39%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] 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] 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 [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 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 [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 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 [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-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 [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-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 [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 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 [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-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 [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] 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] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-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] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 40%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 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 [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 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 [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 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 [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 41%] tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] 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 [ 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 [ 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 [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-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 [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 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 [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 43%] tests/go/test_pipeline.py::test_nodepred_ns_model[gat] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 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 [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] 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 [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 67%]PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] 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 [ 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g0] PASSED [ 44%] tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] 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 [ 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%]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] 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] 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 [ 45%] tests/go/test_pipeline.py::test_linkpred_data[cora] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] 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 [ 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 [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g1] 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g1] 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 [ 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 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 [ 46%] tests/go/test_pipeline.py::test_linkpred_data[citeseer] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] 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 [ 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 [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 48%] tests/go/test_pipeline.py::test_linkpred_data[pubmed] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-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 [ 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 [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 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 [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] 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 [ 49%] tests/go/test_pipeline.py::test_linkpred_data[csv] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] 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-4700@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-4700@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-4700@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-4700@2/pytest_backend.xml - ============================ slowest 100 durations ============================= 1.03s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.87s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.77s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.67s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.65s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.64s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.63s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.63s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.62s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.62s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.40s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.38s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.36s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-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[1-1-g3-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-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-g2-idtype0] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-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-g6-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_rgcn[2] 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[1-2-g6-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.19s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.16s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.16s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] 0.14s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] 0.14s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] 0.14s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] 0.14s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] ================= 920 passed, 35 warnings in 60.66s (0:01:00) ================== 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] PASSED [ 50%] tests/go/test_pipeline.py::test_linkpred_data[reddit] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 14b3429aed6e94453c42a5f512b2655fc4107c7bf07fa2bec37ddf294939a33c PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] $ docker rm -f 14b3429aed6e94453c42a5f512b2655fc4107c7bf07fa2bec37ddf294939a33c PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 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 [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 51%] tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-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[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 [ 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 [ 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 [ 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 [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 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 [ 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] 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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 [ 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/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%] 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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%] 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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 [ 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 [ 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] 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 [ 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 [ 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 [ 64%] tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 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[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] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 65%] tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 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 [ 97%] 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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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@2\python\dgl\data\citation_graph.py:287: 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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@2\pytest_compute.xml -- ============================ slowest 100 durations ============================ 157.39s call tests/compute/test_data.py::test_reddit 83.23s call tests/compute/test_data.py::test_gin 65.96s call tests/compute/test_data.py::test_fakenews 61.86s call tests/compute/test_data.py::test_as_graphpred_ogb 42.60s call tests/compute/test_data.py::test_as_graphpred 33.28s call tests/compute/test_data.py::test_tudataset_regression 32.94s call tests/compute/test_kernel.py::test_all_binary_builtins 19.96s call tests/compute/test_data.py::test_as_graphpred_reprocess 19.90s call tests/compute/test_data.py::test_gnn_benchmark 16.37s call tests/compute/test_data.py::test_as_linkpred_ogb 15.00s call tests/compute/test_sampler.py::test_negative_sampler 11.01s call tests/compute/test_data.py::test_as_nodepred_ogb 6.70s call tests/compute/test_data.py::test_citation_graph 6.61s call tests/compute/test_data.py::test_add_nodepred_split 6.61s call tests/compute/test_data.py::test_wiki_cs 6.19s call tests/compute/test_data.py::test_explain_syn 5.90s call tests/compute/test_data.py::test_fraud 5.03s call tests/compute/test_data.py::test_flickr 3.56s call tests/compute/test_graph.py::test_query 3.43s call tests/compute/test_kernel.py::test_copy_src_reduce 3.11s call tests/compute/test_kernel.py::test_copy_edge_reduce 2.59s call tests/compute/test_heterograph.py::test_level2[idtype1] 2.01s call tests/compute/test_heterograph.py::test_level2[idtype0] 1.95s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.89s call tests/compute/test_heterograph.py::test_query[idtype0] 1.73s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] 1.72s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 1.56s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.56s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.54s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] 1.54s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] 1.53s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] 1.52s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] 1.52s call tests/compute/test_transform.py::test_reorder_nodes 1.51s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] 1.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] 1.49s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] 1.49s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] 1.49s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 1.48s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] 1.41s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] 1.40s call tests/compute/test_heterograph.py::test_forking_pickler 1.33s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] 1.33s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 1.33s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] 1.31s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] 1.12s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] 1.08s call tests/compute/test_data.py::test_csvdataset 1.01s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.99s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 0.98s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] 0.96s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] 0.95s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] 0.93s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.92s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] 0.88s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.88s call tests/compute/test_heterograph.py::test_ismultigraph[idtype0] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] 0.78s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.77s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] 0.76s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] 0.76s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] 0.75s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] 0.75s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] 0.75s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] 0.75s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] 0.75s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] 0.74s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.74s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] 0.73s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 0.70s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] 0.70s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] 0.68s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] 0.66s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] 0.66s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.66s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] 0.64s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] 0.62s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] 0.62s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] 0.62s call tests/compute/test_data.py::test_as_nodepred2 0.61s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] 0.60s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] 0.59s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 0.59s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] 0.59s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 0.58s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] 0.58s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] 0.57s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] ========= 2382 passed, 56 skipped, 337 warnings in 770.74s (0:12:50) ========== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [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 > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4700@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 without tags PASSED [ 66%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] Merging remotes/origin/master commit ea48ce7a3742c5d4ee7c37279be741db6b45bf50 into PR head commit 336457aa17d989f9fd06794837057d047220fbee Merge succeeded, producing 336457aa17d989f9fd06794837057d047220fbee Checking out Revision 336457aa17d989f9fd06794837057d047220fbee (PR-4700) 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/4700/head:refs/remotes/origin/PR-4700 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # 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 ea48ce7a3742c5d4ee7c37279be741db6b45bf50 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 336457aa17d989f9fd06794837057d047220fbee # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4700 # timeout=10 > git checkout -b PR-4700 336457aa17d989f9fd06794837057d047220fbee # timeout=10 Commit message: "Merge branch 'master' into part17_" Cleaning workspace [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700@2>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 [Pipeline] unstash PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes [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 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4700@2>CALL tests\scripts\task_example_test.bat cpu PASSED [ 67%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] C:\Jenkins\workspace\dgl_PR-4700@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([0.0069, 0.0036, 0.0143, 0.0045, 0.0079, 0.0122, 0.0077, 0.0094, 0.0111, 0.0126, 0.0034, 0.0112, 0.0060, 0.0077, 0.0125, 0.0110, 0.0146, 0.0078, 0.0065, 0.0079, 0.0084, 0.0108, 0.0031, 0.0158, 0.0093, 0.0127, 0.0091, 0.0122, 0.0082, 0.0127, 0.0107, 0.0139, 0.0061, 0.0015, 0.0032, 0.0130, 0.0112, 0.0124, 0.0120, 0.0126, 0.0109, 0.0126, 0.0126, 0.0115, 0.0053, 0.0123, 0.0100, 0.0108, 0.0124, 0.0092, 0.0122, 0.0153, 0.0141, 0.0094, 0.0132, 0.0079, 0.0062, 0.0048, 0.0110, 0.0115, 0.0085, 0.0109, 0.0070, 0.0061, 0.0127, 0.0131, 0.0173, 0.0084, 0.0132, 0.0075, 0.0127, 0.0115, 0.0096, 0.0111, 0.0117, 0.0091, 0.0110, 0.0126, 0.0082, 0.0136, 0.0064, 0.0039, 0.0082, 0.0097, 0.0102, 0.0099, 0.0107, 0.0108, 0.0094, 0.0081, 0.0080, 0.0097, 0.0124, 0.0109, 0.0081, 0.0153, 0.0083, 0.0092, 0.0062, 0.0090]) PASSED [ 69%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[] PASSED [ 70%] tests/go/test_pipeline.py::test_graphpred[gin-csv] PASSED [ 71%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4700@2\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4700@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 1.9461 | Accuracy 0.1560 Epoch 00001 | Loss 1.9414 | Accuracy 0.2420 Epoch 00002 | Loss 1.9371 | Accuracy 0.4320 Epoch 00003 | Loss 1.9294 | Accuracy 0.2960 Epoch 00004 | Loss 1.9231 | Accuracy 0.2820 Epoch 00005 | Loss 1.9155 | Accuracy 0.3160 Epoch 00006 | Loss 1.9087 | Accuracy 0.4180 Epoch 00007 | Loss 1.8966 | Accuracy 0.5020 Epoch 00008 | Loss 1.8929 | Accuracy 0.6260 Epoch 00009 | Loss 1.8785 | Accuracy 0.6840 Epoch 00010 | Loss 1.8746 | Accuracy 0.7220 Epoch 00011 | Loss 1.8606 | Accuracy 0.7380 Epoch 00012 | Loss 1.8461 | Accuracy 0.7160 Epoch 00013 | Loss 1.8381 | Accuracy 0.6940 Epoch 00014 | Loss 1.8329 | Accuracy 0.7000 Epoch 00015 | Loss 1.8160 | Accuracy 0.6980 Epoch 00016 | Loss 1.7990 | Accuracy 0.6960 Epoch 00017 | Loss 1.7878 | Accuracy 0.6900 Epoch 00018 | Loss 1.7652 | Accuracy 0.6940 Epoch 00019 | Loss 1.7516 | Accuracy 0.7120 Epoch 00020 | Loss 1.7322 | Accuracy 0.7200 Epoch 00021 | Loss 1.7328 | Accuracy 0.7200 Epoch 00022 | Loss 1.7079 | Accuracy 0.7260 Epoch 00023 | Loss 1.6975 | Accuracy 0.7260 Epoch 00024 | Loss 1.6756 | Accuracy 0.7160 Epoch 00025 | Loss 1.6634 | Accuracy 0.7120 Epoch 00026 | Loss 1.6420 | Accuracy 0.7060 Epoch 00027 | Loss 1.6068 | Accuracy 0.6960 Epoch 00028 | Loss 1.5882 | Accuracy 0.6940 Epoch 00029 | Loss 1.5860 | Accuracy 0.7060 Epoch 00030 | Loss 1.5567 | Accuracy 0.7080 Epoch 00031 | Loss 1.5173 | Accuracy 0.7100 Epoch 00032 | Loss 1.5229 | Accuracy 0.7160 Epoch 00033 | Loss 1.4775 | Accuracy 0.7140 Epoch 00034 | Loss 1.4835 | Accuracy 0.7120 Epoch 00035 | Loss 1.4491 | Accuracy 0.7140 Epoch 00036 | Loss 1.4255 | Accuracy 0.7240 Epoch 00037 | Loss 1.4022 | Accuracy 0.7260 Epoch 00038 | Loss 1.3948 | Accuracy 0.7320 Epoch 00039 | Loss 1.3740 | Accuracy 0.7320 Epoch 00040 | Loss 1.3244 | Accuracy 0.7440 Epoch 00041 | Loss 1.3032 | Accuracy 0.7480 Epoch 00042 | Loss 1.2973 | Accuracy 0.7460 Epoch 00043 | Loss 1.2742 | Accuracy 0.7480 Epoch 00044 | Loss 1.2518 | Accuracy 0.7480 Epoch 00045 | Loss 1.2719 | Accuracy 0.7480 Epoch 00046 | Loss 1.1949 | Accuracy 0.7460 Epoch 00047 | Loss 1.1753 | Accuracy 0.7440 Epoch 00048 | Loss 1.1794 | Accuracy 0.7460 Epoch 00049 | Loss 1.1472 | Accuracy 0.7440 Epoch 00050 | Loss 1.1463 | Accuracy 0.7580 Epoch 00051 | Loss 1.1054 | Accuracy 0.7580 Epoch 00052 | Loss 1.0938 | Accuracy 0.7600 Epoch 00053 | Loss 1.1063 | Accuracy 0.7600 Epoch 00054 | Loss 1.0365 | Accuracy 0.7580 Epoch 00055 | Loss 1.0200 | Accuracy 0.7620 Epoch 00056 | Loss 1.0227 | Accuracy 0.7600 Epoch 00057 | Loss 0.9973 | Accuracy 0.7540 Epoch 00058 | Loss 1.0109 | Accuracy 0.7500 Epoch 00059 | Loss 0.9495 | Accuracy 0.7480 Epoch 00060 | Loss 0.9426 | Accuracy 0.7520 Epoch 00061 | Loss 0.9347 | Accuracy 0.7500 Epoch 00062 | Loss 0.9543 | Accuracy 0.7560 Epoch 00063 | Loss 0.9469 | Accuracy 0.7560 Epoch 00064 | Loss 0.8912 | Accuracy 0.7600 Epoch 00065 | Loss 0.8873 | Accuracy 0.7640 Epoch 00066 | Loss 0.8407 | Accuracy 0.7620 Epoch 00067 | Loss 0.8600 | Accuracy 0.7660 Epoch 00068 | Loss 0.8725 | Accuracy 0.7660 Epoch 00069 | Loss 0.8198 | Accuracy 0.7680 Epoch 00070 | Loss 0.8435 | Accuracy 0.7660 Epoch 00071 | Loss 0.7799 | Accuracy 0.7620 Epoch 00072 | Loss 0.8222 | Accuracy 0.7600 Epoch 00073 | Loss 0.7873 | Accuracy 0.7640 Epoch 00074 | Loss 0.7690 | Accuracy 0.7660 Epoch 00075 | Loss 0.7643 | Accuracy 0.7720 Epoch 00076 | Loss 0.7390 | Accuracy 0.7720 Epoch 00077 | Loss 0.7070 | Accuracy 0.7700 Epoch 00078 | Loss 0.7446 | Accuracy 0.7680 Epoch 00079 | Loss 0.6724 | Accuracy 0.7740 Epoch 00080 | Loss 0.6886 | Accuracy 0.7780 Epoch 00081 | Loss 0.7139 | Accuracy 0.7740 Epoch 00082 | Loss 0.6751 | Accuracy 0.7740 Epoch 00083 | Loss 0.7100 | Accuracy 0.7720 Epoch 00084 | Loss 0.6767 | Accuracy 0.7800 Epoch 00085 | Loss 0.6422 | Accuracy 0.7780 Epoch 00086 | Loss 0.6779 | Accuracy 0.7800 Epoch 00087 | Loss 0.6335 | Accuracy 0.7800 Epoch 00088 | Loss 0.6474 | Accuracy 0.7820 Epoch 00089 | Loss 0.6318 | Accuracy 0.7840 Epoch 00090 | Loss 0.6480 | Accuracy 0.7820 Epoch 00091 | Loss 0.6054 | Accuracy 0.7840 Epoch 00092 | Loss 0.6113 | Accuracy 0.7880 Epoch 00093 | Loss 0.6464 | Accuracy 0.7900 Epoch 00094 | Loss 0.6181 | Accuracy 0.7880 Epoch 00095 | Loss 0.6260 | Accuracy 0.7800 Epoch 00096 | Loss 0.5797 | Accuracy 0.7820 Epoch 00097 | Loss 0.5720 | Accuracy 0.7800 Epoch 00098 | Loss 0.5575 | Accuracy 0.7780 Epoch 00099 | Loss 0.6042 | Accuracy 0.7800 Epoch 00100 | Loss 0.5866 | Accuracy 0.7840 Epoch 00101 | Loss 0.5629 | Accuracy 0.7900 Epoch 00102 | Loss 0.5500 | Accuracy 0.7920 Epoch 00103 | Loss 0.5265 | Accuracy 0.7880 Epoch 00104 | Loss 0.4997 | Accuracy 0.7920 Epoch 00105 | Loss 0.5631 | Accuracy 0.7880 Epoch 00106 | Loss 0.5023 | Accuracy 0.7880 Epoch 00107 | Loss 0.5436 | Accuracy 0.7860 Epoch 00108 | Loss 0.5381 | Accuracy 0.7800 Epoch 00109 | Loss 0.5400 | Accuracy 0.7800 Epoch 00110 | Loss 0.5018 | Accuracy 0.7800 Epoch 00111 | Loss 0.4786 | Accuracy 0.7840 Epoch 00112 | Loss 0.5195 | Accuracy 0.7860 Epoch 00113 | Loss 0.4898 | Accuracy 0.7860 Epoch 00114 | Loss 0.5123 | Accuracy 0.7900 Epoch 00115 | Loss 0.4925 | Accuracy 0.7900 Epoch 00116 | Loss 0.4739 | Accuracy 0.7880 Epoch 00117 | Loss 0.4784 | Accuracy 0.7900 Epoch 00118 | Loss 0.5098 | Accuracy 0.7840 Epoch 00119 | Loss 0.4955 | Accuracy 0.7800 Epoch 00120 | Loss 0.4770 | Accuracy 0.7800 Epoch 00121 | Loss 0.5332 | Accuracy 0.7800 Epoch 00122 | Loss 0.4823 | Accuracy 0.7820 Epoch 00123 | Loss 0.4769 | Accuracy 0.7820 Epoch 00124 | Loss 0.4816 | Accuracy 0.7880 Epoch 00125 | Loss 0.4400 | Accuracy 0.7900 Epoch 00126 | Loss 0.4909 | Accuracy 0.7920 Epoch 00127 | Loss 0.4403 | Accuracy 0.7900 Epoch 00128 | Loss 0.4434 | Accuracy 0.7920 Epoch 00129 | Loss 0.4224 | Accuracy 0.7900 Epoch 00130 | Loss 0.4657 | Accuracy 0.7940 Epoch 00131 | Loss 0.4493 | Accuracy 0.7920 Epoch 00132 | Loss 0.4359 | Accuracy 0.7920 Epoch 00133 | Loss 0.4122 | Accuracy 0.7940 Epoch 00134 | Loss 0.4549 | Accuracy 0.7920 Epoch 00135 | Loss 0.4420 | Accuracy 0.7880 Epoch 00136 | Loss 0.4186 | Accuracy 0.7900 Epoch 00137 | Loss 0.4196 | Accuracy 0.7920 Epoch 00138 | Loss 0.4182 | Accuracy 0.7940 Epoch 00139 | Loss 0.4115 | Accuracy 0.7940 Epoch 00140 | Loss 0.4477 | Accuracy 0.7940 Epoch 00141 | Loss 0.4244 | Accuracy 0.7940 Epoch 00142 | Loss 0.4233 | Accuracy 0.7900 Epoch 00143 | Loss 0.4078 | Accuracy 0.7900 Epoch 00144 | Loss 0.4109 | Accuracy 0.7920 Epoch 00145 | Loss 0.4082 | Accuracy 0.7960 Epoch 00146 | Loss 0.4063 | Accuracy 0.8000 Epoch 00147 | Loss 0.4118 | Accuracy 0.8000 Epoch 00148 | Loss 0.3992 | Accuracy 0.8040 Epoch 00149 | Loss 0.3775 | Accuracy 0.8020 Epoch 00150 | Loss 0.3816 | Accuracy 0.7980 Epoch 00151 | Loss 0.4295 | Accuracy 0.7980 Epoch 00152 | Loss 0.3882 | Accuracy 0.7980 Epoch 00153 | Loss 0.3818 | Accuracy 0.8000 Epoch 00154 | Loss 0.4053 | Accuracy 0.8000 Epoch 00155 | Loss 0.3931 | Accuracy 0.7920 Epoch 00156 | Loss 0.3807 | Accuracy 0.7900 Epoch 00157 | Loss 0.3539 | Accuracy 0.7900 Epoch 00158 | Loss 0.3786 | Accuracy 0.7900 Epoch 00159 | Loss 0.3617 | Accuracy 0.8000 Epoch 00160 | Loss 0.3931 | Accuracy 0.7980 Epoch 00161 | Loss 0.4039 | Accuracy 0.7980 Epoch 00162 | Loss 0.3712 | Accuracy 0.7960 Epoch 00163 | Loss 0.4001 | Accuracy 0.7960 Epoch 00164 | Loss 0.3852 | Accuracy 0.7960 Epoch 00165 | Loss 0.3560 | Accuracy 0.7960 Epoch 00166 | Loss 0.3604 | Accuracy 0.7980 Epoch 00167 | Loss 0.3530 | Accuracy 0.7960 Epoch 00168 | Loss 0.3758 | Accuracy 0.7960 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 0.3664 | Accuracy 0.7980 Epoch 00170 | Loss 0.3626 | Accuracy 0.8020 Epoch 00171 | Loss 0.3788 | Accuracy 0.8000 Epoch 00172 | Loss 0.3591 | Accuracy 0.8000 Epoch 00173 | Loss 0.3593 | Accuracy 0.7980 Epoch 00174 | Loss 0.3581 | Accuracy 0.7980 Epoch 00175 | Loss 0.3461 | Accuracy 0.7960 Epoch 00176 | Loss 0.3743 | Accuracy 0.7960 Epoch 00177 | Loss 0.3564 | Accuracy 0.7980 Epoch 00178 | Loss 0.3853 | Accuracy 0.8040 Epoch 00179 | Loss 0.3514 | Accuracy 0.8000 Epoch 00180 | Loss 0.3686 | Accuracy 0.7980 Epoch 00181 | Loss 0.3574 | Accuracy 0.8000 Epoch 00182 | Loss 0.3923 | Accuracy 0.7980 Epoch 00183 | Loss 0.3401 | Accuracy 0.7980 Epoch 00184 | Loss 0.3735 | Accuracy 0.7960 Epoch 00185 | Loss 0.3458 | Accuracy 0.7980 Epoch 00186 | Loss 0.3444 | Accuracy 0.8040 Epoch 00187 | Loss 0.3440 | Accuracy 0.8020 Epoch 00188 | Loss 0.3322 | Accuracy 0.8040 Epoch 00189 | Loss 0.3049 | Accuracy 0.8040 Epoch 00190 | Loss 0.3353 | Accuracy 0.8040 Epoch 00191 | Loss 0.3517 | Accuracy 0.8040 Epoch 00192 | Loss 0.3378 | Accuracy 0.8020 Epoch 00193 | Loss 0.3464 | Accuracy 0.8000 Epoch 00194 | Loss 0.3302 | Accuracy 0.8000 Epoch 00195 | Loss 0.3460 | Accuracy 0.8000 Epoch 00196 | Loss 0.3400 | Accuracy 0.8020 Epoch 00197 | Loss 0.3259 | Accuracy 0.8040 Epoch 00198 | Loss 0.3649 | Accuracy 0.7980 Epoch 00199 | Loss 0.3255 | Accuracy 0.7940 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 [ 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 [ 72%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } 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 [ 74%] tests/go/test_pipeline.py::test_graphpred[pna-csv] 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 [ 75%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 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 [ 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 [ 76%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/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-4700/pytest_compute.xml -- ============================ slowest 100 durations ============================= 218.73s call tests/compute/test_kernel.py::test_all_binary_builtins 65.03s call tests/compute/test_sampler.py::test_negative_sampler 58.48s call tests/compute/test_transform.py::test_metis_partition[int64] 32.24s call tests/compute/test_kernel.py::test_copy_src_reduce 26.16s call tests/compute/test_transform.py::test_reorder_nodes 10.88s call tests/compute/test_kernel.py::test_copy_edge_reduce 4.54s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 4.02s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 3.70s call tests/compute/test_heterograph.py::test_query[int64] 3.16s call tests/compute/test_heterograph.py::test_query[int32] 3.14s call tests/compute/test_graph.py::test_query 2.97s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] 2.64s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 2.59s call tests/compute/test_heterograph.py::test_updates[int64] 2.54s call tests/compute/test_transform.py::test_remove_nodes[int32] 2.47s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] 2.44s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] 2.34s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] 2.31s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] 2.30s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] 2.19s call tests/compute/test_transform.py::test_remove_edges[int32] 2.13s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g1] 2.10s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g1] 2.07s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] 2.05s call tests/compute/test_sampling.py::test_sample_neighbors_prob 2.03s call tests/compute/test_heterograph.py::test_updates[int32] 2.00s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] 1.98s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.94s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] 1.87s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] 1.87s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] 1.82s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] 1.82s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] 1.77s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g1] 1.77s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] 1.67s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g1] 1.66s call tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp1-g1] 1.65s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] 1.63s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] 1.61s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] 1.58s call tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] 1.58s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] 1.57s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] 1.57s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] 1.54s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] 1.53s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] 1.52s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] 1.49s call tests/compute/test_transform.py::test_to_block[int64] 1.48s call tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] 1.48s call tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp4-g1] 1.47s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] 1.44s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] 1.43s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] 1.43s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] 1.43s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] 1.40s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] 1.40s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] 1.39s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] 1.39s call tests/compute/test_transform.py::test_to_block[int32] 1.38s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] 1.38s call tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g1] 1.37s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] 1.37s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] 1.37s call tests/compute/test_traversal.py::test_bfs[int32] 1.37s call tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp3-g1] 1.36s call tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] 1.36s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g1] 1.34s call tests/compute/test_transform.py::test_add_edges[int32] 1.34s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] 1.33s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] 1.33s call tests/compute/test_transform.py::test_remove_edges[int64] 1.32s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g0] 1.31s call tests/compute/test_heterograph.py::test_view1[int32] 1.30s call tests/compute/test_sparse.py::test_sddmm[int64-mul-v-u-shp3-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] 1.23s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 1.23s call tests/compute/test_transform.py::test_remove_nodes[int64] 1.22s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] 1.20s call tests/compute/test_heterograph.py::test_view1[int64] 1.19s call tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g0] 1.18s call tests/compute/test_heterograph.py::test_types_in_function[int32] 1.16s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] 1.15s call tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g0] 1.09s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] 1.09s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] 1.09s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] 1.09s call tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] 1.08s call tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] 1.08s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g1] 1.08s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] 1.07s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] 1.07s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] 1.07s call tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g1] ========= 2284 passed, 149 skipped, 509 warnings in 1070.15s (0:17:50) ========= 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-4700 collecting ... 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 [ 77%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 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 [ 79%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] /root/jenkins/workspace/dgl_PR-4700@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 [ 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 [ 80%] tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 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 [ 81%] tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 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 [ 82%] tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 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 [ 83%] tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 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 [ 85%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 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 [ 86%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 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 [ 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 [ 87%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 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 [ 88%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 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 [ 90%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 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 [ 91%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 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 [ 92%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 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 [ 93%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 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 [ 95%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 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 [ 96%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 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 [ 97%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 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 [ 98%] tests/go/test_pipeline.py::test_node_cora 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%] 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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 [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@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-4700@4/pytest_go.xml ---- ============================ slowest 100 durations ============================= 29.48s call tests/go/test_pipeline.py::test_node_cora 8.26s call tests/go/test_pipeline.py::test_nodepred_data[cora] 8.13s call tests/go/test_pipeline.py::test_nodepred_ns_data[csv] 8.10s call tests/go/test_pipeline.py::test_nodepred_data[pubmed] 8.04s call tests/go/test_pipeline.py::test_nodepred_data[citeseer] 7.97s call tests/go/test_pipeline.py::test_nodepred_model[gcn] 7.96s call tests/go/test_pipeline.py::test_nodepred_model[sage] 7.94s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] 7.92s call tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] 7.91s call tests/go/test_pipeline.py::test_nodepred_model[gin] 7.88s call tests/go/test_pipeline.py::test_nodepred_model[gat] 7.84s call tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 7.83s call tests/go/test_pipeline.py::test_nodepred_data[csv] 7.81s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] 7.73s call tests/go/test_pipeline.py::test_nodepred_model[sgc] 7.73s call tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] 7.70s call tests/go/test_pipeline.py::test_nodepred_data[reddit] 7.67s call tests/go/test_pipeline.py::test_nodepred_ns_data[cora] 7.65s call tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] 6.21s call tests/go/test_pipeline.py::test_graphpred[pna-csv] 6.20s call tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 5.98s call tests/go/test_pipeline.py::test_graphpred[gin-csv] 5.92s call tests/go/test_pipeline.py::test_linkpred_node_model[gat] 5.86s call tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 5.83s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 5.80s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] 5.79s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 5.77s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] 5.76s call tests/go/test_pipeline.py::test_linkpred_node_model[sage] 5.73s call tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 5.72s call tests/go/test_pipeline.py::test_nodepred_ns_model[gat] 5.70s call tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] 5.70s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 5.66s call tests/go/test_pipeline.py::test_linkpred_node_model[gin] 5.65s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] 5.64s call tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] 5.62s call tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 5.61s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 5.59s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] 5.54s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] 5.48s call tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 5.45s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] 5.44s call tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 5.37s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] 4.59s call tests/go/test_pipeline.py::test_linkpred_data[reddit] 4.51s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] 4.28s call tests/go/test_pipeline.py::test_linkpred_data[citeseer] 4.24s call tests/go/test_pipeline.py::test_linkpred_data[pubmed] 4.23s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 4.19s call tests/go/test_pipeline.py::test_linkpred_data[csv] 4.19s call tests/go/test_pipeline.py::test_linkpred_data[cora] 1.74s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 1.72s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 1.71s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 1.70s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 1.70s call tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 1.69s call tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 1.68s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 1.68s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 1.66s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 1.66s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 1.65s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 1.65s call tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 1.64s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 0.51s call tests/go/test_model.py::test_pna 0.18s call tests/go/test_model.py::test_ogbg_gin[True] 0.10s call tests/go/test_model.py::test_gcn[g0] 0.08s call tests/go/test_model.py::test_gat[g0] 0.04s call tests/go/test_model.py::test_sage_block[g0] 0.03s call tests/go/test_model.py::test_ogbg_gin[False] 0.03s call tests/go/test_model.py::test_gin[g0] 0.02s call tests/go/test_model.py::test_sage[g0] 0.02s call tests/go/test_model.py::test_sgc[g0] 0.01s call tests/go/test_model.py::test_gcn_block[g0] 0.01s call tests/go/test_model.py::test_gat_block[g0] (21 durations < 0.005s hidden. Use -vv to show these durations.) ================= 81 passed, 23 warnings in 377.25s (0:06:17) ================== [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 [ 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 239f384f6f71ee813df6919e6d001b5f91957b6880b66d3fe3c35db427b9df50 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] $ docker rm -f 239f384f6f71ee813df6919e6d001b5f91957b6880b66d3fe3c35db427b9df50 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] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } 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 [ 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 [ 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 [ 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%] 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 [ 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 [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%] =============================== 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-4700/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-4700/pytest_backend.xml -- ============================ slowest 100 durations ============================= 1.22s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 1.17s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 1.17s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 1.05s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 1.03s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 1.00s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 1.00s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 0.98s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.94s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.91s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.85s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] 0.84s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] 0.82s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] 0.82s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.81s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] 0.81s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.80s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] 0.80s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] 0.79s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.79s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.79s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.78s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.78s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.78s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] 0.78s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] 0.76s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] 0.76s call tests/mxnet/test_nn.py::test_gg_conv 0.75s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] 0.75s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.74s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] 0.74s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.72s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] 0.71s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] 0.71s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] 0.71s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.71s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.70s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.69s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.69s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.69s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] 0.68s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.68s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] 0.64s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.61s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.61s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.60s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] 0.60s call tests/mxnet/test_nn.py::test_rgcn[2] 0.59s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.59s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.59s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.58s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.57s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.57s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 0.56s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.54s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.54s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] 0.52s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.52s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.50s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.49s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.45s call tests/mxnet/test_nn.py::test_tagconv[2] 0.45s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] 0.43s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.42s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 0.40s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] 0.39s call tests/mxnet/test_nn.py::test_tagconv[1] 0.39s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] 0.37s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] 0.36s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.36s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.36s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] 0.35s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] 0.35s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] 0.35s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] 0.34s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] 0.34s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] 0.33s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] 0.33s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] 0.33s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.32s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] 0.32s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] 0.32s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] 0.31s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] 0.30s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] 0.30s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] 0.29s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.29s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] 0.29s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] 0.29s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] 0.28s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.28s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] 0.28s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] 0.28s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] 0.28s call tests/mxnet/test_nn.py::test_sg_conv[2] 0.27s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] 0.27s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 0.27s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] 0.26s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] 0.26s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] ================= 806 passed, 2 warnings in 129.48s (0:02:09) ================== [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 59c9f09c240985ce8e194265f61204883829802a51becb529f2f29bbeed4314c $ docker rm -f 59c9f09c240985ce8e194265f61204883829802a51becb529f2f29bbeed4314c [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Downloading /root/jenkins/workspace/dgl_PR-4700@3/GINDataset.zip from https://raw.githubusercontent.com/weihua916/powerful-gnns/master/dataset.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4700@3/GINDataset Node feature dimensionality: 3 Number of graph categories: 2 [Graph(num_nodes=193, num_edges=947, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), tensor([1, 0, 1, 0, 0])] Number of nodes for each graph element in the batch: tensor([41, 32, 46, 20, 54]) Number of edges for each graph element in the batch: tensor([225, 150, 200, 94, 278]) The original graphs in the minibatch: [Graph(num_nodes=41, num_edges=225, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=32, num_edges=150, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=46, num_edges=200, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=20, num_edges=94, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=54, num_edges=278, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={})] Test accuracy: 0.11210762331838565 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: 1.952, val acc: 0.060 (best 0.060), test acc: 0.065 (best 0.065) In epoch 5, loss: 1.883, val acc: 0.132 (best 0.132), test acc: 0.135 (best 0.135) In epoch 10, loss: 1.757, val acc: 0.404 (best 0.458), test acc: 0.414 (best 0.480) In epoch 15, loss: 1.566, val acc: 0.492 (best 0.492), test acc: 0.510 (best 0.510) In epoch 20, loss: 1.318, val acc: 0.590 (best 0.590), test acc: 0.610 (best 0.610) In epoch 25, loss: 1.037, val acc: 0.662 (best 0.662), test acc: 0.688 (best 0.688) In epoch 30, loss: 0.757, val acc: 0.714 (best 0.714), test acc: 0.722 (best 0.722) In epoch 35, loss: 0.512, val acc: 0.728 (best 0.728), test acc: 0.740 (best 0.740) In epoch 40, loss: 0.323, val acc: 0.738 (best 0.738), test acc: 0.747 (best 0.747) In epoch 45, loss: 0.197, val acc: 0.740 (best 0.742), test acc: 0.747 (best 0.748) In epoch 50, loss: 0.121, val acc: 0.740 (best 0.746), test acc: 0.748 (best 0.749) In epoch 55, loss: 0.076, val acc: 0.740 (best 0.746), test acc: 0.749 (best 0.749) In epoch 60, loss: 0.051, val acc: 0.748 (best 0.748), test acc: 0.750 (best 0.750) In epoch 65, loss: 0.036, val acc: 0.748 (best 0.748), test acc: 0.755 (best 0.750) In epoch 70, loss: 0.027, val acc: 0.748 (best 0.748), test acc: 0.757 (best 0.750) In epoch 75, loss: 0.022, val acc: 0.746 (best 0.750), test acc: 0.756 (best 0.756) In epoch 80, loss: 0.018, val acc: 0.746 (best 0.750), test acc: 0.753 (best 0.756) In epoch 85, loss: 0.015, val acc: 0.744 (best 0.750), test acc: 0.752 (best 0.756) In epoch 90, loss: 0.013, val acc: 0.742 (best 0.750), test acc: 0.753 (best 0.756) In epoch 95, loss: 0.012, val acc: 0.744 (best 0.750), test acc: 0.753 (best 0.756) In epoch 100, loss: 0.010, val acc: 0.742 (best 0.750), test acc: 0.753 (best 0.756) In epoch 105, loss: 0.009, val acc: 0.742 (best 0.750), test acc: 0.754 (best 0.756) In epoch 110, loss: 0.009, val acc: 0.742 (best 0.750), test acc: 0.755 (best 0.756) In epoch 115, loss: 0.008, val acc: 0.742 (best 0.750), test acc: 0.755 (best 0.756) In epoch 120, loss: 0.007, val acc: 0.742 (best 0.750), test acc: 0.756 (best 0.756) In epoch 125, loss: 0.007, val acc: 0.742 (best 0.750), test acc: 0.756 (best 0.756) In epoch 130, loss: 0.006, val acc: 0.742 (best 0.750), test acc: 0.757 (best 0.756) In epoch 135, loss: 0.006, val acc: 0.742 (best 0.750), test acc: 0.757 (best 0.756) In epoch 140, loss: 0.006, val acc: 0.742 (best 0.750), test acc: 0.757 (best 0.756) In epoch 145, loss: 0.005, val acc: 0.742 (best 0.750), test acc: 0.756 (best 0.756) In epoch 150, loss: 0.005, val acc: 0.742 (best 0.750), test acc: 0.756 (best 0.756) In epoch 155, loss: 0.005, val acc: 0.742 (best 0.750), test acc: 0.756 (best 0.756) In epoch 160, loss: 0.004, val acc: 0.740 (best 0.750), test acc: 0.756 (best 0.756) In epoch 165, loss: 0.004, val acc: 0.740 (best 0.750), test acc: 0.756 (best 0.756) In epoch 170, loss: 0.004, val acc: 0.740 (best 0.750), test acc: 0.755 (best 0.756) In epoch 175, loss: 0.004, val acc: 0.738 (best 0.750), test acc: 0.755 (best 0.756) In epoch 180, loss: 0.004, val acc: 0.738 (best 0.750), test acc: 0.756 (best 0.756) In epoch 185, loss: 0.003, val acc: 0.738 (best 0.750), test acc: 0.756 (best 0.756) In epoch 190, loss: 0.003, val acc: 0.738 (best 0.750), test acc: 0.757 (best 0.756) In epoch 195, loss: 0.003, val acc: 0.738 (best 0.750), test acc: 0.757 (best 0.756) In epoch 0, loss: 1.951, val acc: 0.084 (best 0.084), test acc: 0.102 (best 0.102) In epoch 5, loss: 1.879, val acc: 0.234 (best 0.234), test acc: 0.250 (best 0.250) In epoch 10, loss: 1.750, val acc: 0.500 (best 0.538), test acc: 0.507 (best 0.533) In epoch 15, loss: 1.562, val acc: 0.438 (best 0.538), test acc: 0.455 (best 0.533) In epoch 20, loss: 1.321, val acc: 0.494 (best 0.538), test acc: 0.517 (best 0.533) In epoch 25, loss: 1.049, val acc: 0.588 (best 0.588), test acc: 0.590 (best 0.590) In epoch 30, loss: 0.776, val acc: 0.648 (best 0.648), test acc: 0.660 (best 0.660) In epoch 35, loss: 0.535, val acc: 0.672 (best 0.672), test acc: 0.709 (best 0.709) In epoch 40, loss: 0.349, val acc: 0.692 (best 0.692), test acc: 0.733 (best 0.733) In epoch 45, loss: 0.222, val acc: 0.710 (best 0.710), test acc: 0.735 (best 0.737) In epoch 50, loss: 0.141, val acc: 0.716 (best 0.716), test acc: 0.737 (best 0.735) In epoch 55, loss: 0.093, val acc: 0.726 (best 0.726), test acc: 0.738 (best 0.738) In epoch 60, loss: 0.063, val acc: 0.728 (best 0.728), test acc: 0.739 (best 0.737) In epoch 65, loss: 0.046, val acc: 0.730 (best 0.730), test acc: 0.734 (best 0.738) In epoch 70, loss: 0.034, val acc: 0.728 (best 0.730), test acc: 0.733 (best 0.738) In epoch 75, loss: 0.027, val acc: 0.726 (best 0.730), test acc: 0.732 (best 0.738) In epoch 80, loss: 0.022, val acc: 0.720 (best 0.730), test acc: 0.730 (best 0.738) In epoch 85, loss: 0.019, val acc: 0.718 (best 0.730), test acc: 0.727 (best 0.738) In epoch 90, loss: 0.016, val acc: 0.718 (best 0.730), test acc: 0.727 (best 0.738) In epoch 95, loss: 0.014, val acc: 0.716 (best 0.730), test acc: 0.727 (best 0.738) In epoch 100, loss: 0.013, val acc: 0.716 (best 0.730), test acc: 0.724 (best 0.738) In epoch 105, loss: 0.011, val acc: 0.718 (best 0.730), test acc: 0.723 (best 0.738) In epoch 110, loss: 0.010, val acc: 0.716 (best 0.730), test acc: 0.721 (best 0.738) In epoch 115, loss: 0.010, val acc: 0.714 (best 0.730), test acc: 0.719 (best 0.738) In epoch 120, loss: 0.009, val acc: 0.716 (best 0.730), test acc: 0.719 (best 0.738) In epoch 125, loss: 0.008, val acc: 0.712 (best 0.730), test acc: 0.716 (best 0.738) In epoch 130, loss: 0.008, val acc: 0.712 (best 0.730), test acc: 0.717 (best 0.738) In epoch 135, loss: 0.007, val acc: 0.712 (best 0.730), test acc: 0.717 (best 0.738) In epoch 140, loss: 0.007, val acc: 0.712 (best 0.730), test acc: 0.717 (best 0.738) In epoch 145, loss: 0.006, val acc: 0.710 (best 0.730), test acc: 0.717 (best 0.738) In epoch 150, loss: 0.006, val acc: 0.710 (best 0.730), test acc: 0.716 (best 0.738) In epoch 155, loss: 0.006, val acc: 0.706 (best 0.730), test acc: 0.716 (best 0.738) In epoch 160, loss: 0.005, val acc: 0.706 (best 0.730), test acc: 0.716 (best 0.738) In epoch 165, loss: 0.005, val acc: 0.706 (best 0.730), test acc: 0.715 (best 0.738) In epoch 170, loss: 0.005, val acc: 0.704 (best 0.730), test acc: 0.716 (best 0.738) In epoch 175, loss: 0.005, val acc: 0.704 (best 0.730), test acc: 0.716 (best 0.738) In epoch 180, loss: 0.004, val acc: 0.704 (best 0.730), test acc: 0.718 (best 0.738) In epoch 185, loss: 0.004, val acc: 0.704 (best 0.730), test acc: 0.719 (best 0.738) In epoch 190, loss: 0.004, val acc: 0.704 (best 0.730), test acc: 0.719 (best 0.738) In epoch 195, loss: 0.004, val acc: 0.704 (best 0.730), test acc: 0.719 (best 0.738) 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: 0.6930129528045654 In epoch 5, loss: 0.6630004048347473 In epoch 10, loss: 0.5708458423614502 In epoch 15, loss: 0.5106377005577087 In epoch 20, loss: 0.47037672996520996 In epoch 25, loss: 0.4407990574836731 In epoch 30, loss: 0.4207995533943176 In epoch 35, loss: 0.3944087624549866 In epoch 40, loss: 0.3718150556087494 In epoch 45, loss: 0.35063666105270386 In epoch 50, loss: 0.32905149459838867 In epoch 55, loss: 0.3074662387371063 In epoch 60, loss: 0.2855912446975708 In epoch 65, loss: 0.2648433446884155 In epoch 70, loss: 0.24329572916030884 In epoch 75, loss: 0.22287854552268982 In epoch 80, loss: 0.2025844305753708 In epoch 85, loss: 0.1828892081975937 In epoch 90, loss: 0.16381540894508362 In epoch 95, loss: 0.14538225531578064 AUC 0.8280739426338132 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: 0.088 (best 0.088), test acc: 0.103 (best 0.103) In epoch 5, loss: 1.885, val acc: 0.584 (best 0.584), test acc: 0.571 (best 0.571) In epoch 10, loss: 1.796, val acc: 0.618 (best 0.618), test acc: 0.612 (best 0.612) In epoch 15, loss: 1.683, val acc: 0.652 (best 0.652), test acc: 0.650 (best 0.650) In epoch 20, loss: 1.549, val acc: 0.678 (best 0.678), test acc: 0.679 (best 0.679) In epoch 25, loss: 1.397, val acc: 0.694 (best 0.696), test acc: 0.700 (best 0.694) In epoch 30, loss: 1.235, val acc: 0.710 (best 0.710), test acc: 0.710 (best 0.710) In epoch 35, loss: 1.070, val acc: 0.726 (best 0.726), test acc: 0.721 (best 0.717) In epoch 40, loss: 0.911, val acc: 0.728 (best 0.728), test acc: 0.733 (best 0.733) In epoch 45, loss: 0.764, val acc: 0.738 (best 0.738), test acc: 0.736 (best 0.736) In epoch 50, loss: 0.635, val acc: 0.744 (best 0.746), test acc: 0.739 (best 0.737) In epoch 55, loss: 0.525, val acc: 0.744 (best 0.746), test acc: 0.745 (best 0.737) In epoch 60, loss: 0.433, val acc: 0.746 (best 0.746), test acc: 0.750 (best 0.737) In epoch 65, loss: 0.358, val acc: 0.762 (best 0.762), test acc: 0.749 (best 0.749) In epoch 70, loss: 0.297, val acc: 0.766 (best 0.766), test acc: 0.753 (best 0.753) In epoch 75, loss: 0.247, val acc: 0.764 (best 0.768), test acc: 0.755 (best 0.754) In epoch 80, loss: 0.207, val acc: 0.770 (best 0.770), test acc: 0.760 (best 0.758) In epoch 85, loss: 0.175, val acc: 0.772 (best 0.772), test acc: 0.756 (best 0.758) In epoch 90, loss: 0.149, val acc: 0.772 (best 0.774), test acc: 0.752 (best 0.756) In epoch 95, loss: 0.128, val acc: 0.770 (best 0.774), test acc: 0.754 (best 0.756) Running tutorial ./blitz/6_load_data.py ... ./blitz/6_load_data.py:98: 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.) node_labels = torch.from_numpy(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([[ 1.2263, -0.6089, 2.1795, -1.0966], [ 1.8327, 1.6243, 0.9670, 1.9245], [-1.5352, 0.9787, 0.9389, 0.6222], [-1.0820, 0.6970, -0.2222, -0.1961], [-0.4948, -0.5134, -0.0990, -0.6471]]) 6 5 5 0 tensor([0, 1, 3]) tensor([0, 2]) tensor([0, 1, 2, 4]) tensor([0, 1, 3]) tensor([[-0.2459, -0.2062, 0.4439], [-1.7417, -0.8940, -0.5003], [-1.5445, -0.1109, -0.2044]]) tensor([[ 1.2263, -0.6089, 2.1795, -1.0966], [-1.5352, 0.9787, 0.9389, 0.6222]]) tensor([[-0.2459, -0.2062, 0.4439], [-1.7417, -0.8940, -0.5003], [-1.7709, -0.2214, 0.6605], [ 1.4846, 0.5448, -1.5578]]) tensor([[ 1.2263, -0.6089, 2.1795, -1.0966], [ 1.8327, 1.6243, 0.9670, 1.9245], [-1.0820, 0.6970, -0.2222, -0.1961]]) (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 ... Cancelling nested steps due to timeout Sending interrupt signal to process Terminated script returned exit code 143 [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 0344b52b6d2091251a90dae7f6ee742682307291cbfb19cef6bb02dab44cb3a3 $ docker rm -f 0344b52b6d2091251a90dae7f6ee742682307291cbfb19cef6bb02dab44cb3a3 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Failed in branch Torch CPU [Pipeline] // parallel [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Declarative: Post Actions) [Pipeline] script [Pipeline] { [Pipeline] node Running on dglci-post-linux in /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700 [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-awscli:v220418 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-post-linux does not seem to be running inside a container $ docker run -t -d -u 0:0 --pull always --entrypoint= -w /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700 -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700:rw,z -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700@tmp:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700@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 ******** dgllib/dgl-ci-awscli:v220418 cat $ docker top bc37045981d952bd08bdacae2e1b6770e63a0097223aa1a7ffea35275f61d0f7 -eo pid,comm [Pipeline] { [Pipeline] sh + rm -rf ci_tmp [Pipeline] dir Running in /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4700/ci_tmp [Pipeline] { [Pipeline] sh + curl -k -o cireport.log https://dgl-jenkins-eksvpc-2136217999.us-west-2.elb.amazonaws.com/job/dgl/job/PR-4700/2/consoleText % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed