Pull request #4814 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 Rhett-Ying for dmlc/dgl Obtained Jenkinsfile from e244f689ab1c02e6822056f2ed8d24bd7701d04b+df089424c76e246de0eea9f62ef7923d41a17d17 (bef0e745ebb9ef45d1cca3856b1e965a00624f2c) [Pipeline] Start of Pipeline [Pipeline] node Still waiting to schedule task ‘dgci-worker-permanent’ is reserved for jobs with matching label expression ‘dglci-manual-gpu-worker’ is reserved for jobs with matching label expression ‘dglci-post-linux’ is reserved for jobs with matching label expression ‘dglci-windows2’ is reserved for jobs with matching label expression ‘dglci-windows’ is reserved for jobs with matching label expression Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4814 [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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 13df116e381a1a5d557c8d2ac16fd6222577ec67 Checking out Revision 13df116e381a1a5d557c8d2ac16fd6222577ec67 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 13df116e381a1a5d557c8d2ac16fd6222577ec67 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 13df116e381a1a5d557c8d2ac16fd6222577ec67 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-4814 [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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 1dfbe711df693e05410234e39dea0e6a6493c114 Checking out Revision 1dfbe711df693e05410234e39dea0e6a6493c114 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1dfbe711df693e05410234e39dea0e6a6493c114 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 1dfbe711df693e05410234e39dea0e6a6493c114 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-4814 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top c8e83bcd3da993c759dde705a41859747edd471aebc6df5e85ba2db6c533f63c -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 c8e83bcd3da993c759dde705a41859747edd471aebc6df5e85ba2db6c533f63c $ docker rm -f c8e83bcd3da993c759dde705a41859747edd471aebc6df5e85ba2db6c533f63c [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-4814 [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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing c343e1891c8ddbdb511ae8e7faad634e91317342 Checking out Revision c343e1891c8ddbdb511ae8e7faad634e91317342 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c343e1891c8ddbdb511ae8e7faad634e91317342 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 c343e1891c8ddbdb511ae8e7faad634e91317342 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-4814 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 1701d7f0989a466fda72c8072bef809e3b8a1b6187d15177061c558c89e9f293 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 1701d7f0989a466fda72c8072bef809e3b8a1b6187d15177061c558c89e9f293 $ docker rm -f 1701d7f0989a466fda72c8072bef809e3b8a1b6187d15177061c558c89e9f293 [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-4814 [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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 86119773248ea2c34427b9921bda37faa8b4e9e5 Checking out Revision 86119773248ea2c34427b9921bda37faa8b4e9e5 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 86119773248ea2c34427b9921bda37faa8b4e9e5 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 86119773248ea2c34427b9921bda37faa8b4e9e5 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [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-4814 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 5d18f2d39599183b2f6ceff0fc3d25ec04c62c522ee22d7fc02f7ce03cae32e7 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 5d18f2d39599183b2f6ceff0fc3d25ec04c62c522ee22d7fc02f7ce03cae32e7 $ docker rm -f 5d18f2d39599183b2f6ceff0fc3d25ec04c62c522ee22d7fc02f7ce03cae32e7 [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 Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing f60655a6a94eb8bde8b2611e5e11756333705a37 Checking out Revision f60655a6a94eb8bde8b2611e5e11756333705a37 (PR-4814) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f f60655a6a94eb8bde8b2611e5e11756333705a37 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 f60655a6a94eb8bde8b2611e5e11756333705a37 # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 536e86b80561ad802d21ed8d7cfaa5e2acf4425a132192632c7eeb65d54d04b0 -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@39369ac6; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 8806745a8bb7d32115e277094b04a0ec92798df3 Checking out Revision 8806745a8bb7d32115e277094b04a0ec92798df3 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 8806745a8bb7d32115e277094b04a0ec92798df3 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 8806745a8bb7d32115e277094b04a0ec92798df3 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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===== =====176/176 cpp-source files passed check===== All passed! Checking code style of python codes... Report ====== 19923 statements analysed. Statistics by type ------------------ +---------+-------+-----------+-----------+------------+---------+ |type |number |old number |difference |%documented |%badname | +=========+=======+===========+===========+============+=========+ |module |241 |NC |NC |100.00 |0.00 | +---------+-------+-----------+-----------+------------+---------+ |class |348 |NC |NC |99.71 |1.15 | +---------+-------+-----------+-----------+------------+---------+ |method |1555 |NC |NC |99.61 |0.32 | +---------+-------+-----------+-----------+------------+---------+ |function |707 |NC |NC |100.00 |0.99 | +---------+-------+-----------+-----------+------------+---------+ 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.ndarray) | \-base (dgl._ffi._ctypes.ndarray) | \-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.ndarray) | \-streams (dgl.heterograph_index) \-backend (dgl.transforms.functional) | \-pytorch (dgl.nn.pytorch.sparse_emb) \-base (dgl.transforms.functional) \-batch (dgl.transforms.functional) \-convert (dgl.transforms.functional) \-core (dgl.heterograph) \-data | \-utils (dgl.distgnn.tools.tools) \-dataloading | \-base (dgl.dataloading.dataloader) \-distributed (dgl._dataloading.pytorch.dataloader) | \-constants (dgl.distributed.partition) | \-dist_context (dgl.distributed.dist_tensor) | \-dist_tensor (dgl.distributed.optim.pytorch.sparse_optim) | \-graph_partition_book (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) | | \-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.mpops.edgewise) \-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.partition) | \-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 |26611 |36.45 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |38926 |53.32 |NC |NC | +----------+-------+------+---------+-----------+ |comment |2064 |2.83 |NC |NC | +----------+-------+------+---------+-----------+ |empty |5407 |7.41 |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 536e86b80561ad802d21ed8d7cfaa5e2acf4425a132192632c7eeb65d54d04b0 $ docker rm -f 536e86b80561ad802d21ed8d7cfaa5e2acf4425a132192632c7eeb65d54d04b0 [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 [Pipeline] node [Pipeline] node Still waiting to schedule task Waiting for next available executor on ‘windows’ 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 ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4814 [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 C:\Jenkins\workspace\dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing ee83ab8fabae510147b94457e3bd99612bc1669c Checking out Revision ee83ab8fabae510147b94457e3bd99612bc1669c (PR-4814) > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f ee83ab8fabae510147b94457e3bd99612bc1669c # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [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 branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 ee83ab8fabae510147b94457e3bd99612bc1669c # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing e5e36b13ce61432f556156273acf3ddb4b251529 Checking out Revision e5e36b13ce61432f556156273acf3ddb4b251529 (PR-4814) > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4814\.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e5e36b13ce61432f556156273acf3ddb4b251529 # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] bat > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 e5e36b13ce61432f556156273acf3ddb4b251529 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814>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-4814/third_party/METIS'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/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-4814/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 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/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 'C:/Jenkins/workspace/dgl_PR-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/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] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814>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' created virtual environment CPython3.6.7.final.0-64 in 381ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4814-3, 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-4814\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4814\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. -- The C compiler identification is MSVC 19.25.28614.0 -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info -- 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 -- 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 -- Found OpenMP_C: -openmp (found version "2.0") -- 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 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - not found -- Looking for nanosleep -- Looking for nanosleep - not found -- Looking for backtrace -- 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 -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4814/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4814-3/Scripts/python.exe (found version "3.6.7") -- Build with unittest CMake Deprecation Warning at third_party/googletest/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googlemock/CMakeLists.txt:45 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googletest/CMakeLists.txt:56 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Looking for pthread.h -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4814/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 11/7/2022 8:46:38 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4814\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". 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4814\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4814\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.DD1BD96B.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.DD1BD96B.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4814-3) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/third_party/googletest/googletest/CMakeLists.txt 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4814\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. 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock_main.vcxproj" (14) on node 4 (default targets). 14>PrepareForBuild: Creating directory "gmock_main.dir\Release\". 13>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4814\build\bin\Release". 14>PrepareForBuild: Creating directory "gmock_main.dir\Release\gmock_main.tlog\". InitializeBuildStatus: Creating "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 15>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/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-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\src\gtest-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814\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. 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/third_party/googletest/googlemock/CMakeLists.txt 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-4814\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googlemock\src\gmock-all.cc" 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/third_party/dmlc-core/CMakeLists.txt 13>ClCompile: gtest-all.cc 15>ClCompile: gtest-all.cc 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-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\local_filesys.cc" 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-4814\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googlemock\src\gmock_main.cc" 16>ClCompile: config.cc data.cc io.cc 14>ClCompile: gtest-all.cc gmock-all.cc 16>ClCompile: recordio.cc line_split.cc recordio_split.cc indexed_recordio_split.cc input_split_base.cc filesys.cc local_filesys.cc 14>ClCompile: gmock_main.cc 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info -- 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 -- 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 -- 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 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 -- Generating done 12>CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4814/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 11/7/2022 8:46:48 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" on node 1 (default targets). 1>ValidateSolutionConfiguration: Building solution configuration "Release|x64". ValidateProjects: The project "ALL_BUILD" is not selected for building in solution configuration "Release|x64". 1>Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F5C6A3A0.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F5C6A3A0.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/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-4814\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\tensoradapter\pytorch\torch.cpp" torch.cpp 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-4814\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-4814/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4814/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib" /MACHINE:X64 /machine:x64 /DLL tensoradapter_pytorch_1.9.0.dir\Release\torch.obj Creating library C:/Jenkins/workspace/dgl_PR-4814/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib and object C:/Jenkins/workspace/dgl_PR-4814/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.exp tensoradapter_pytorch_1.9.0.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll FinalizeBuildStatus: Deleting file "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F5C6A3A0.tlog\unsuccessfulbuild". Touching "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.F5C6A3A0.tlog\tensoradapter_pytorch_1.9.0.lastbuildstate". 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default targets). Build succeeded. 0 Warning(s) 0 Error(s) Time Elapsed 00:00:01.98 Release\tensoradapter_pytorch_1.9.0.dll 1 file(s) copied. Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.DD1BD96B.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.DD1BD96B.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj.metaproj" (default targets). 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-4814\build\lib\Release\gtest.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gtest.dir\Release\gtest-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-4814\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 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-4814\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 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-4814\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 13>Lib: gtest.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\lib\Release\gtest.lib 14>Lib: gmock_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\lib\Release\gmock_main.lib 15>Lib: gmock.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\lib\Release\gmock.lib 16>Lib: dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\Release\dmlc.lib 15>FinalizeBuildStatus: Deleting file "gmock.dir\Release\gmock.tlog\unsuccessfulbuild". Touching "gmock.dir\Release\gmock.tlog\gmock.lastbuildstate". 16>FinalizeBuildStatus: Deleting file "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild". 15>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock.vcxproj" (default targets). 16>FinalizeBuildStatus: Touching "dmlc.dir\Release\dmlc.tlog\dmlc.lastbuildstate". 14>FinalizeBuildStatus: Deleting file "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild". 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 13>FinalizeBuildStatus: Deleting file "gtest.dir\Release\gtest.tlog\unsuccessfulbuild". 14>FinalizeBuildStatus: Touching "gmock_main.dir\Release\gmock_main.tlog\gmock_main.lastbuildstate". 13>FinalizeBuildStatus: Touching "gtest.dir\Release\gtest.tlog\gtest.lastbuildstate". 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) is building "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest_main.vcxproj" (17) on node 3 (default targets). 17>PrepareForBuild: Creating directory "gtest_main.dir\Release\". Creating directory "gtest_main.dir\Release\gtest_main.tlog\". InitializeBuildStatus: Creating "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/third_party/googletest/googletest/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-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gtest_main.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4814\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\src\gtest_main.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (18) on node 1 (default targets). 18>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4814\build\Release\". Creating directory "dgl.dir\Release\dgl.tlog\". InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 17>ClCompile: gtest_main.cc 18>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4814/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4814\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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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\\" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4814\src\array\array.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\array_arith.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_cumsum.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_index_select.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_nonzero.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_pack.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_repeat.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_scatter.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_sort.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_coalesce.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_linegraph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_sort.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_get_data.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_mm.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sort.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sum.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_union.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\disjoint_union.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\gather_mm.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\negative_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_topk.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\sddmm.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\segment_reduce.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmm.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\filter.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\kernel.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\array\uvm_array.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\bcast.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\c_api_common.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\geometry\cpu\geometry_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\geometry\geometry.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\partition\ndarray_partition.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\random\cpu\choice.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\random\random.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\c_object_api.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\c_runtime_api.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\config.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\cpu_device_api.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\dlpack_convert.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\dso_module.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\file_util.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\module.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\module_util.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\ndarray.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\object.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\registry.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\resource_manager.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\tcp_socket.cc" array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc filter.cc 17>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-4814\build\lib\Release\gtest_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 gtest_main.dir\Release\gtest_main.obj 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] Lib: gtest_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\lib\Release\gtest_main.lib 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_nonzero.cc) FinalizeBuildStatus: Deleting file "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild". Touching "gtest_main.dir\Release\gtest_main.tlog\gtest_main.lastbuildstate". 17>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 18>ClCompile: C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). 18>ClCompile: _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] kernel.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_scatter.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_index_select.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] libra_partition.cc uvm_array.cc bcast.cc c_api_common.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] geometry_op_impl.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] geometry.cc ndarray_partition.cc choice.cc random.cc c_object_api.cc c_runtime_api.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] config.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] cpu_device_api.cc dlpack_convert.cc dso_module.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] file_util.cc module.cc module_util.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] ndarray.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc(58): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc(84): 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-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\coo_remove.cc(95): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] object.cc 18>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-4814\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc(58): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc(88): 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-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_remove.cc(99): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] registry.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmm.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc(312): message : see reference to function template instantiation 'void std::fill(const _FwdIt,const _FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc(320): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::CSRToCOO(dgl::aten::CSRMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc(496): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc(545): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(703): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(726): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] resource_manager.cc semaphore_wrapper.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(399): message : see reference to function template instantiation 'void std::iota(_FwdIt,_FwdIt,_Ty)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] shared_mem.cc C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(653): 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-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(656): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc) system_lib_module.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-4814\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\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-4814\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-4814\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-4814\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-4814\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-4814\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-4814\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\src\array\cpu\spmat_op_impl_coo.cc(265): 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-4814\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-4814\src\array\cpu\spmat_op_impl_coo.cc(264): 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-4814\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-4814\src\array\cpu\spmat_op_impl_coo.cc(305): 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-4814\build\dgl.vcxproj] tensordispatch.cc thread_pool.cc threading_backend.cc utils.cc workspace_pool.cc 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] api_container.cc api_test.cc creators.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\cpu\geometry_op_impl.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] gk_ops.cc graph.cc graph_apis.cc graph_op.cc graph_traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] heterograph.cc 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(319): 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-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(288,10): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(288,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(291,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(291,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(291,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(291,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(294,43): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(294,43): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(294,43): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(294,43): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(298,43): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(298,43): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(298,43): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(298,43): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] heterograph_capi.cc immutable_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] metis_partition.cc network.cc nodeflow.cc pickle.cc sampler.cc global_uniform.cc neighbor.cc get_node_types_cpu.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] node2vec.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] node2vec_cpu.cc randomwalk_cpu.cc randomwalk_with_restart_cpu.cc randomwalks.cc dglgraph_serialize.cc graph_serialize.cc heterograph_serialize.cc tensor_serialize.cc zerocopy_serializer.cc shared_mem_manager.cc subgraph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\aten\./array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl/aten/coo.h(239): 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-4814\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] compact.cc line_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] metis_partition_hetero.cc partition_hetero.cc remove_edges.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] to_bipartite.cc to_simple.cc unit_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec.cc) scheduler.cc C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\nodeflow.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1507,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] scheduler_apis.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] common.cc 18>C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1712,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1656): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1884): message : see reference to function template instantiation 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1805): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\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-4814\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_randomwalk.h(44): message : see reference to function template instantiation 'bool std::binary_search(_FwdIt,_FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_randomwalk.h(108): 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-4814\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_randomwalk.h(161): 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-4814\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc(39): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] msg_queue.cc 18>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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) 18>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-4814\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc(524): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph.cc(425): message : see reference to function template instantiation 'dgl::FlattenedHeteroGraphPtr dgl::HeteroGraph::FlattenImpl(const std::vector> &) const' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\pickle.cc) socket_communicator.cc C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] socket_pool.cc tcp_socket.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\graph_op.cc(407): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc(59): 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-4814\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc(114): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\aten\./array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl/aten/coo.h(239): 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-4814\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(784): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc(65): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc(65): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc(147): 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-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) 18>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-4814\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc(82): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc(76): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\partition_hetero.cc(109): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>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-4814\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\../../array/cpu/array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc(83): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc(83): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc(151): 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-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\traversal.cc" traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\union_partition.cc" union_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\cpu\knn.cc" knn.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\knn.cc" knn.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\union_partition.cc" union_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] 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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4814\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\traversal.cc" traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\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-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\build\dgl.vcxproj] PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4814\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-4814/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4814/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-4814\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-4814/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4814/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4814/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 Creating library C:/Jenkins/workspace/dgl_PR-4814/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4814/build/Release/dgl.exp dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4814/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4814/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". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814/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-4814\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4814\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 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-4814\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(129,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(392): message : see reference to function template instantiation 'void _TestUnitGraph(DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(131,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(134,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(136,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/array_ops.h(351): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4814\include\dgl\./aten/coo.h(239): 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-4814\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 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-4814\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-4814/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4814/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-4814/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4814/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4814\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-4814\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4814\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4814\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-4814/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-4814\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4814\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> (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-4814\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\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-4814\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(390,13): 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-4814\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-4814\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(276,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(288,10): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(291,17): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(294,43): 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-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\array\libra_partition.cc(298,43): 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-4814\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-4814\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1507,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\src\graph\sampler.cc(1712,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\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-4814\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-4814\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\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-4814\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\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-4814\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4814\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(129,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(131,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(134,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4814\tests\cpp\test_unit_graph.cc(136,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4814\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-4814\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4814\build\runUnitTests.vcxproj] 146 Warning(s) 0 Error(s) Time Elapsed 00:01:15.93 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4814\python\build Obtaining file:///C:/Jenkins/workspace/dgl_PR-4814/python Preparing metadata (setup.py): started 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) Collecting psutil>=5.8.0 Using cached psutil-5.9.3-cp36-cp36m-win_amd64.whl (249 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: 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: 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: chardet<4,>=3.0.2 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (3.0.4) Requirement already satisfied: certifi>=2017.4.17 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2020.6.20) Installing collected packages: psutil, dgl Running setup.py develop for dgl Successfully installed dgl psutil-5.9.3 [Pipeline] echo Packing build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll into dgl-cpu-win64 [Pipeline] stash Stashed 3 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +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/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 2aef74ec77feb2bd60702387956372f8a7c507fa Checking out Revision 2aef74ec77feb2bd60702387956372f8a7c507fa (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 2aef74ec77feb2bd60702387956372f8a7c507fa # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 2aef74ec77feb2bd60702387956372f8a7c507fa # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 > git clean -fdx # timeout=10 v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top b428217e0b07b6574e29eaea3bd97c0a038bc6bdc380b2eb0870155d6700fd49 -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@5d8e2462; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 Merge succeeded, producing 6eca7bc9ae2d666869605f51adaee5c83b7bc2fa Checking out Revision 6eca7bc9ae2d666869605f51adaee5c83b7bc2fa (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] sh + git submodule update --recursive --init > git config core.sparsecheckout # timeout=10 > git checkout -f 6eca7bc9ae2d666869605f51adaee5c83b7bc2fa # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 6eca7bc9ae2d666869605f51adaee5c83b7bc2fa # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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/build_dgl.sh cpu ~/jenkins/workspace/dgl_PR-4814/build ~/jenkins/workspace/dgl_PR-4814 -- 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 -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Performing Test SUPPORT_CXX14 -- Performing Test SUPPORT_CXX14 - Success -- 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 -- Looking for sys/epoll.h - found -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814@2 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a -- 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-4814/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 Cloning the remote Git repository Cloning with configured refspecs honoured and without tags -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- 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_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_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 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_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 -- 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-4814/build 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/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 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/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.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/recordio.cc.o [ 1%] Building CXX object 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third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o -- The C compiler identification is GNU 7.5.0 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b -- 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 -- Detecting C compiler ABI info - done -- Detecting C compile features -- 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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/error.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.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/listener_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 5a419af41c2e5a403ee6bfe6b0c165e80d8b0b4f # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 5a419af41c2e5a403ee6bfe6b0c165e80d8b0b4f # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [ 50%] Linking C static library libmetis.a [ 50%] Built target metis -- 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 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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 -- Looking for pthread_create in pthread - found -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4814/tensoradapter/pytorch/build Scanning dependencies of target tensoradapter_pytorch_1.9.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so ================================================================================ [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4814/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 50%] Built target tensoradapter_pytorch 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 LIBXSMM master-1.16.1-1534 (Linux@b428217e0b07) -------------------------------------------------------------------------------- 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 + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [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-4814@2 -v /root/jenkins/workspace/dgl_PR-4814@2:/root/jenkins/workspace/dgl_PR-4814@2:rw,z -v /root/jenkins/workspace/dgl_PR-4814@2@tmp:/root/jenkins/workspace/dgl_PR-4814@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat /usr/bin/ar: creating lib/libxsmmnoblas.a $ docker top 365edfd9b79178c64ba5e996edf4efb2a5258a876e70d40447ce623dfe39eca6 -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@2fdc830a; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing ab025838e751d39499de8cec230d7ef325bf17c7 Checking out Revision ab025838e751d39499de8cec230d7ef325bf17c7 (PR-4814) /usr/bin/ar: creating lib/libxsmmgen.a Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f ab025838e751d39499de8cec230d7ef325bf17c7 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 ab025838e751d39499de8cec230d7ef325bf17c7 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] sh [ 50%] Linking CXX static library ../../../lib/libgtest.a + git submodule update --recursive --init [ 50%] Built target gtest Scanning dependencies of target gtest_main 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 > 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-4814@2/third_party/METIS'... [ 53%] Linking CXX static library ../../../lib/libgtest_main.a [ 53%] Built target gtest_main Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/dmlc-core'... [ 53%] Linking CXX static library libtensorpipe.a [ 53%] Built target tensorpipe /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/googletest'... ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@b428217e0b07) -------------------------------------------------------------------------------- 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! -------------------------------------------------------------------------------- [ 53%] Built target libxsmm [ 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 [ 54%] Linking CXX static library ../../../lib/libgmock_main.a [ 54%] Built target gmock_main [ 54%] Linking CXX static library libdmlc.a [ 54%] Built target dmlc Scanning dependencies of target dgl Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/libxsmm'... [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 65%] Building CXX object 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CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.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/rpc/network/socket_communicator.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o In file included from /root/jenkins/workspace/dgl_PR-4814/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4814/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4814/include/dgl/runtime/packed_func.h:482:21: 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-4814/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4814/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core/include/dmlc/./logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core/include/dmlc/io.h:15, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./../runtime/ndarray.h:16, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./types.h:11, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/array_ops.h:18, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4814/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4814/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-4814/src/graph/sampler.cc:1172:48: 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-4814/src/graph/sampler.cc:1176:48: 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-4814/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-4814/src/array/libra_partition.cc:389:11: 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-4814/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-4814/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm'... [ 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/message_queue_test.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/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.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_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_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_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-4814/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4814/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ [100%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_server [100%] Built target rpc_client Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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-4814@2/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libuv'... [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4814 ~/jenkins/workspace/dgl_PR-4814/python ~/jenkins/workspace/dgl_PR-4814 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 Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/pybind11'... [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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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++ 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-4814@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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 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-4814@2/third_party/thrust/dependencies/cub'... 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/ 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-4814@2/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/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 Downloading https://files.pythonhosted.org/packages/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 5.9.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814/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, + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4814@2/build ~/jenkins/workspace/dgl_PR-4814@2 -- 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 -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread [1/1] Cythonizing dgl/_ffi/_cython/core.pyx -- 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. 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++ -- 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 -- Looking for sys/epoll.h - found -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection 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:170 (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:170 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- 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-4814@2/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h 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-4814/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test UV_LINT_W4 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 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_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") -- Building dist/rpc tests -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4814@2/build [1/1] Cythonizing dgl/_ffi/_cython/core.pyx Scanning dependencies of target libxsmm Scanning dependencies of target nccl_external Scanning dependencies of target tensoradapter_pytorch [ 0%] Creating directories for 'nccl_external' Scanning dependencies of target dmlc Scanning dependencies of target gtest [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 0%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 0%] 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/recordio.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.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/filesys.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%] No download step for 'nccl_external' [ 3%] 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/inet.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/threadpool.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 4%] No patch step for 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object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 30%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 31%] No configure step for 'nccl_external' running install [ 31%] Performing build step for 'nccl_external' -- The C compiler identification is GNU 7.5.0 Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/include/nccl_net.h -- The CXX compiler identification is GNU 7.5.0 Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/lib/pkgconfig/nccl.pc running bdist_egg -- Check for working C compiler: /usr/bin/cc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/misc/utils.o -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/misc/argcheck.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/all_reduce.o -- Detecting C compiler ABI info - done Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/broadcast.o -- Detecting C compile features -- Detecting C compile features - done Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/reduce.o -- Check for working CXX compiler: /usr/bin/c++ Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/paths.o running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/graph/xml.o -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info Generating rules > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/Makefile.rules [ 31%] Linking C static library libtensorpipe_uv.a [ 31%] Built target tensorpipe_uv -- 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 Scanning dependencies of target tensorpipe [ 31%] Building CXX object 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third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_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/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o 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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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++ -- 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 -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD [ 45%] Linking C static library libmetis.a -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads [ 45%] Built target metis -- 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 "10.1") -- Caffe2: CUDA detected: 10.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 10.1 -- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so -- Found cuDNN: v7.6.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:203 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.o -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4814@2/tensoradapter/pytorch/build Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Scanning dependencies of target tensoradapter_pytorch_1.9.0 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_u32.o [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4814@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o [ 45%] Built target tensoradapter_pytorch Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o 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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o 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 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o 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 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o ================================================================================ Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_u64.o LIBXSMM master-1.16.1-1534 (Linux@365edfd9b791) -------------------------------------------------------------------------------- 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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_i64.o 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 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_u8.o [ 46%] Linking CXX static library ../../../lib/libgtest.a /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_u32.o [ 46%] Built target gtest Scanning dependencies of target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_i64.o [ 46%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Scanning dependencies of target gmock Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_u64.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o 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/ Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o [ 48%] Linking CXX static library ../../../lib/libgtest_main.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o [ 48%] Built target gtest_main Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o [ 48%] Linking CXX static library libtensorpipe.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Downloading https://files.pythonhosted.org/packages/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o [ 48%] Built target tensorpipe [ 48%] Linking CXX static library ../../../lib/libgmock.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o [ 48%] Built target gmock /usr/bin/ar: creating lib/libxsmmgen.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Scanning dependencies of target gmock_main Adding psutil 5.9.3 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814/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, Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_u8.o [1/1] Cythonizing dgl/_ffi/_cython/core.pyx Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_i32.o [ 48%] Linking CXX static library ../../../lib/libgmock_main.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_u32.o 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++ Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_i64.o [ 48%] Built target gmock_main Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.o [ 48%] Linking CXX static library libdmlc.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o [ 48%] Built target dmlc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o 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-4814/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o 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 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o /usr/bin/ar: creating lib/libxsmm.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o /usr/bin/ar: creating lib/libxsmmext.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o ================================================================================ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o LIBXSMM master-1.16.1-1534 (Linux@365edfd9b791) -------------------------------------------------------------------------------- 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! -------------------------------------------------------------------------------- Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o [ 48%] Built target libxsmm Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o [1/1] Cythonizing dgl/_ffi/_cython/core.pyx Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/onerank_reduce.o 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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 5.9.3 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814/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-4814/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4814 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 654M -rw-r--r-- 1 root root 496 May 3 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 2022 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 2022 crt1.o -rw-r--r-- 1 root root 1.2K May 3 2022 crti.o -rw-r--r-- 1 root root 648 May 3 2022 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 2022 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 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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 2022 libanl.a lrwxrwxrwx 1 root root 33 May 3 2022 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 2022 libc.a -rw-r--r-- 1 root root 298 May 3 2022 libc.so -rw-r--r-- 1 root root 20K May 3 2022 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 2022 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 2022 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 2022 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 2022 libdl.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 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 2022 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 2022 libm.a -rw-r--r-- 1 root root 186 May 3 2022 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 2022 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 2022 libmvec.a lrwxrwxrwx 1 root root 34 May 3 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 2022 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 2022 libnsl.a lrwxrwxrwx 1 root root 33 May 3 2022 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 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 2022 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 2022 libpthread.a -rw-r--r-- 1 root root 252 May 3 2022 libpthread.so -rw-r--r-- 1 root root 29K May 3 2022 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 2022 libresolv.a lrwxrwxrwx 1 root root 36 May 3 2022 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 2022 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 2022 librt.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 2022 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 2022 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 2022 libutil.a lrwxrwxrwx 1 root root 34 May 3 2022 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 2022 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 b428217e0b07b6574e29eaea3bd97c0a038bc6bdc380b2eb0870155d6700fd49 $ docker rm -f b428217e0b07b6574e29eaea3bd97c0a038bc6bdc380b2eb0870155d6700fd49 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 4e43debfeae522c14cdbf95204f7960651620498 Checking out Revision 4e43debfeae522c14cdbf95204f7960651620498 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 4e43debfeae522c14cdbf95204f7960651620498 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 4e43debfeae522c14cdbf95204f7960651620498 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 > git clean -fdx # timeout=10 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:e2e62a12692e2748b06af925280deb518701a0a601478edbeba0bcb9b89ef847 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 . [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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 cat $ docker top 7c9b7c21e7f3566b618f1c3453e0ada6646caa009c5924c471d6ee1af35e7c50 -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@14105c5a; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 8320440f6fcc3e9f84edb067f82f9a17d33834fb Checking out Revision 8320440f6fcc3e9f84edb067f82f9a17d33834fb (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 8320440f6fcc3e9f84edb067f82f9a17d33834fb # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 8320440f6fcc3e9f84edb067f82f9a17d33834fb # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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/build_dgl.sh cugraph ~/jenkins/workspace/dgl_PR-4814/build ~/jenkins/workspace/dgl_PR-4814 -- The C compiler identification is GNU 7.5.0 -- 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 -- 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 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.5") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/opt/conda/lib/libcublas.so -- Found CUDA_CURAND_LIBRARY=/opt/conda/lib/libcurand.so -- Performing Test SUPPORT_CXX14 -- 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 -- Looking for sys/epoll.h - found -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -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). 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:170 (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:170 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_80,code=sm_80;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- 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-4814/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for 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_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 Archiving objects > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4814@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4814@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 [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.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_csr_mm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.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_disjoint_union.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_negative_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.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 [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 56%] Building NVCC (Device) object 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Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_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 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:187 (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:187 (cuda_add_library) CMake Warning at CMakeLists.txt:334 (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:334 (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-4814/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:342 (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:342 (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-4814/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:345 (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:345 (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-4814/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4814/build [ 0%] 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/recordio.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 0%] Creating directories for 'nccl_external' [ 1%] Building CXX object 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Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4814/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4814/build/nccl/include/nccl_net.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4814/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/misc/utils.o Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/misc/argcheck.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/p2p.o [ 32%] Linking C static library libtensorpipe_uv.a Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/shm.o [ 32%] Built target tensorpipe_uv Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/net_socket.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.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/common/allocator.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/net_ib.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/transport/coll_net.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/all_reduce.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/all_gather.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/broadcast.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/reduce.o In file included from include/core.h:57:0, from include/transport.h:13, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: enqueue.cc: In function 'ncclResult_t ncclLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, int*, int, int)': enqueue.cc:135:97: warning: 'cudaError_t cudaLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, unsigned int, unsigned int)' is deprecated [-Wdeprecated-declarations] cudaCooperativeLaunchMultiDeviceNoPreSync|cudaCooperativeLaunchMultiDeviceNoPostSync)); ^ include/checks.h:14:23: note: in definition of macro 'CUDACHECK' cudaError_t err = cmd; \ ^~~ In file included from /usr/local/cuda/include/channel_descriptor.h:61:0, from /usr/local/cuda/include/cuda_runtime.h:95, from /root/jenkins/workspace/dgl_PR-4814/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)); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/reduce_scatter.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/topo.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/paths.o [ 45%] 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/transport/ibv/error.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/search.o [ 46%] 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 [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/graph/xml.o [ 46%] Linking C static library libmetis.a [ 46%] Built target metis Generating rules > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/Makefile.rules nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (413): here Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/build/nccl/obj/collectives/device/all_gather_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/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-4814/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_gather_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/build/nccl/obj/collectives/device/all_gather_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/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-4814/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-4814/build/nccl/obj/collectives/device/all_gather_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_max_i32.o /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (413): 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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_gather_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-4814/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/broadcast_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). [ 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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). [ 48%] Built target gtest nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_sum_f32.o [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_sum_f64.o [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_i64.o /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (413): 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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_f16.o LIBXSMM master-1.16.1-1534 (Linux@7c9b7c21e7f3) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/broadcast_min_i8.o [ 49%] Linking CXX static library ../../../lib/libgtest_main.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). ================================================================================ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_min_i32.o [ 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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/broadcast_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_max_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4814@2/src/array/cuda/gather_mm.cu(171): 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]" (355): 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, DType=double]" (413): 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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o [ 49%] Linking CXX static library ../../../lib/libgmock.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 49%] Linking CXX static library libtensorpipe.a /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_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). [ 49%] Built target gmock Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). [ 49%] Built target tensorpipe Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_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-4814/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). [ 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.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_u32.o [ 49%] Built target gmock_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). [ 49%] Linking CXX static library libdmlc.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). [ 49%] Built target dmlc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_prod_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/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-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/onerank_reduce.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@7c9b7c21e7f3) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 49%] Built target libxsmm Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_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-4814/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/all_reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/all_reduce_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_max_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_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-4814/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_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-4814/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/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-4814/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4814/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4814/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4814/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4814/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4814/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 [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.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_cuda_filter.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_csr_mm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.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_negative_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 54%] 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_csr_sum.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 55%] 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_utils.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.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/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4814/src/graph/transform/cuda/cuda_to_block.cu(112): 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]" (355): 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). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', '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-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm.cu(103): here /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm_hetero.cu(197): here /root/jenkins/workspace/dgl_PR-4814/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): 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]" (463): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/cuda/cuda_to_block.cu(112): 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]" (355): here /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (678): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (681): here /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/cuda/cuda_to_block.cu(112): 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]" (355): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/cuda/cuda_to_block.cu(112): 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]" (355): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/cuda/cuda_to_block.cu(112): 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]" (355): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm_hetero.cu(197): here /root/jenkins/workspace/dgl_PR-4814/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): 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]" (463): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): 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]" (463): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm_hetero.cu(197): here /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm.cu(103): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): 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]" (463): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm_hetero.cu(197): here /root/jenkins/workspace/dgl_PR-4814/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): 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]" (463): here /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (678): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (681): here /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm_hetero.cu(197): here /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm.cu(103): 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/cpu/array_nonzero.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/coo_linegraph.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/csr_sum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.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/transform/metis_partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.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/compact.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.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/to_simple.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o In file included from /root/jenkins/workspace/dgl_PR-4814@2/third_party/dmlc-core/include/dmlc/./logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4814@2/third_party/dmlc-core/include/dmlc/io.h:15, from /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/./aten/./../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/./aten/./../runtime/ndarray.h:16, from /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/./aten/./types.h:11, from /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/./aten/array_ops.h:18, from /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4814@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4814@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-4814@2/src/graph/sampler.cc:1172:48: 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-4814@2/src/graph/sampler.cc:1176:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4814@2/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4814@2/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4814@2/include/dgl/runtime/packed_func.h:482:21: 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-4814@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4814@2/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4814@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-4814@2/src/array/libra_partition.cc:389:11: 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-4814@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-4814@2/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (678): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (681): here [ 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 [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.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 [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.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_spmm.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4814@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4814@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-4814@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:84:44: required from here /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:64:26: 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-4814@2/tests/cpp/test_partition.cc:73:26: 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-4814@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-4814@2/tests/cpp/test_partition.cc:85:44: required from here /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:64:26: 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-4814@2/tests/cpp/test_partition.cc:73:26: 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-4814@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:192:40: required from here /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:170:26: 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-4814@2/tests/cpp/test_partition.cc:181:26: 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-4814@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-4814@2/tests/cpp/test_partition.cc:193:40: required from here /root/jenkins/workspace/dgl_PR-4814@2/tests/cpp/test_partition.cc:170:26: 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-4814@2/tests/cpp/test_partition.cc:181:26: 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-4814@2 ~/jenkins/workspace/dgl_PR-4814@2/python ~/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced [1/1] Cythonizing dgl/_ffi/_cython/core.pyx /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm.cu(103): here 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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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 /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (678): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (681): here 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/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 5.9.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814@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-4814@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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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 /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/./spmm.cuh(194): 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, DType=__half]" /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/spmm.cu(103): here 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/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 5.9.3 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814@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-4814@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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-3.7/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/mpops 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/graph_transformer.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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-3.7/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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 /root/jenkins/workspace/dgl_PR-4814/include/dgl/random.h(29): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4814/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (678): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (681): here 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/5e/86/856aa554ec7eb843fb006ef125cf4543ee9058cb39ad09d131dd820c71f7/psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=68fa227c32240c52982cb931801c5707a7f96dd8927f9102d6c7771ea1ff5698 Best match: psutil 5.9.3 Processing psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.3-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 5.9.3 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.3-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-4814@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-4814@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4814@2 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 1.8G -rw-r--r-- 1 root root 496 May 3 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 2022 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 2022 coreutils -rw-r--r-- 1 root root 1.9K May 3 2022 crt1.o -rw-r--r-- 1 root root 1.2K May 3 2022 crti.o -rw-r--r-- 1 root root 648 May 3 2022 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 2022 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 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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 2022 libanl.a lrwxrwxrwx 1 root root 33 May 3 2022 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 2022 libc.a -rw-r--r-- 1 root root 298 May 3 2022 libc.so -rw-r--r-- 1 root root 20K May 3 2022 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 2022 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 2022 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 2022 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M May 3 2022 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 2022 libdl.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 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 2022 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 2022 libm.a -rw-r--r-- 1 root root 186 May 3 2022 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 2022 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 2022 libmvec.a lrwxrwxrwx 1 root root 34 May 3 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 2022 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 2022 libnsl.a lrwxrwxrwx 1 root root 33 May 3 2022 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 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 2022 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 2022 libpthread.a -rw-r--r-- 1 root root 252 May 3 2022 libpthread.so -rw-r--r-- 1 root root 29K May 3 2022 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 2022 libresolv.a lrwxrwxrwx 1 root root 36 May 3 2022 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 2022 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 2022 librt.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 2022 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 2022 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 2022 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 2022 libutil.a lrwxrwxrwx 1 root root 34 May 3 2022 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 -> 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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 365edfd9b79178c64ba5e996edf4efb2a5258a876e70d40447ce623dfe39eca6 $ docker rm -f 365edfd9b79178c64ba5e996edf4efb2a5258a876e70d40447ce623dfe39eca6 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 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 CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 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/module_util.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o /root/jenkins/workspace/dgl_PR-4814/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4814/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.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 [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 84%] 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_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o /root/jenkins/workspace/dgl_PR-4814/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-4814/src/array/libra_partition.cc:389:11: 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 ~~~ [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o /root/jenkins/workspace/dgl_PR-4814/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-4814/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o In file included from /root/jenkins/workspace/dgl_PR-4814/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4814/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4814/include/dgl/runtime/packed_func.h:482:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.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/network/socket_pool.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-4814/third_party/dmlc-core/include/dmlc/./logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core/include/dmlc/io.h:15, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./../runtime/ndarray.h:16, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/./types.h:11, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/./aten/array_ops.h:18, from /root/jenkins/workspace/dgl_PR-4814/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4814/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4814/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-4814/src/graph/sampler.cc:1172:48: 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-4814/src/graph/sampler.cc:1176:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl [ 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 [ 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 [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_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/string_test.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 [ 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_sampler.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 [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o /root/jenkins/workspace/dgl_PR-4814/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4814/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-4814/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:84:44: required from here /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:64:26: 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-4814/tests/cpp/test_partition.cc:73:26: 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-4814/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:85:44: required from here /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:64:26: 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-4814/tests/cpp/test_partition.cc:73:26: 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-4814/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:192:40: required from here /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:170:26: 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-4814/tests/cpp/test_partition.cc:181:26: 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-4814/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:193:40: required from here /root/jenkins/workspace/dgl_PR-4814/tests/cpp/test_partition.cc:170:26: 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-4814/tests/cpp/test_partition.cc:181:26: 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-4814 ~/jenkins/workspace/dgl_PR-4814/python ~/jenkins/workspace/dgl_PR-4814 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/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops 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/graph_transformer.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/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch 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 creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops 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/graph_transformer.py to graph_transformer.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/mpops/nodewise.py to nodewise.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__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==5.9.3 Best match: psutil 5.9.3 Adding psutil 5.9.3 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==2.8.7 Best match: networkx 2.8.7 Adding networkx 2.8.7 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for scipy==1.9.3 Best match: scipy 1.9.3 Adding scipy 1.9.3 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for numpy==1.23.4 Best match: numpy 1.23.4 Adding numpy 1.23.4 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==3.4 Best match: idna 3.4 Adding idna 3.4 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-4814 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 507M -rw-r--r-- 1 root root 496 May 3 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 2022 Scrt1.o drwxr-xr-x 1 root root 4.0K Oct 25 08:48 audit drwxr-xr-x 2 root root 4.0K Apr 28 2022 coreutils -rw-r--r-- 1 root root 1.9K May 3 2022 crt1.o -rw-r--r-- 1 root root 1.2K May 3 2022 crti.o -rw-r--r-- 1 root root 648 May 3 2022 crtn.o drwxr-xr-x 1 root root 4.0K Oct 25 08:48 engines-1.1 drwxr-xr-x 1 root root 12K Oct 25 08:48 gconv -rw-r--r-- 1 root root 2.5K May 3 2022 gcrt1.o -rw-r--r-- 1 root root 2.3K May 3 2022 grcrt1.o drwxr-xr-x 3 root root 4.0K Oct 25 08:48 krb5 drwxr-xr-x 2 root root 4.0K May 20 08:07 ldscripts -rw-r--r-- 1 root root 2.0K May 3 2022 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 2022 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 -rw-r--r-- 1 root root 23K May 3 2022 libanl.a lrwxrwxrwx 1 root root 33 May 3 2022 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 Oct 11 17:46 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Oct 11 17:46 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 2022 libc.a -rw-r--r-- 1 root root 298 May 3 2022 libc.so -rw-r--r-- 1 root root 20K May 3 2022 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 2022 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 2022 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 2022 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 2022 libdl.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 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 Oct 11 17:56 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Oct 11 17:56 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 Oct 11 17:46 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Oct 11 17:46 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 Oct 11 17:46 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Oct 11 17:46 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 20 Oct 11 17:46 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Oct 11 17:46 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Oct 11 17:46 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Oct 11 17:46 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 Oct 11 17:46 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Oct 11 17:46 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 Oct 11 17:46 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Oct 11 17:46 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 Oct 18 00:13 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 227K Oct 18 00:13 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 2022 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 2022 libm.a -rw-r--r-- 1 root root 186 May 3 2022 libm.so -rw-r--r-- 1 root root 1.5K May 3 2022 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 2022 libmvec.a lrwxrwxrwx 1 root root 34 May 3 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 2022 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 2022 libnsl.a lrwxrwxrwx 1 root root 33 May 3 2022 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 2022 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 5 10:49 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 5 10:49 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 2022 libpthread.a -rw-r--r-- 1 root root 252 May 3 2022 libpthread.so -rw-r--r-- 1 root root 29K May 3 2022 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 2022 libresolv.a lrwxrwxrwx 1 root root 36 May 3 2022 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 18 Oct 11 17:46 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Oct 11 17:46 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 2022 librpcsvc.a -rw-r--r-- 1 root root 76K May 3 2022 librt.a lrwxrwxrwx 1 root root 32 May 3 2022 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 2022 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 2022 libutil.a lrwxrwxrwx 1 root root 34 May 3 2022 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 16 Oct 11 17:46 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Oct 11 17:46 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 1 root root 4.0K Oct 25 08:48 perl-base -rw-r--r-- 1 root root 1.8K May 3 2022 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 7c9b7c21e7f3566b618f1c3453e0ada6646caa009c5924c471d6ee1af35e7c50 $ docker rm -f 7c9b7c21e7f3566b618f1c3453e0ada6646caa009c5924c471d6ee1af35e7c50 [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-4814 [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4814@2 [Pipeline] node [Pipeline] node [Pipeline] node Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4814 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a 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 using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4814@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Cleaning workspace Fetching without tags Merge succeeded, producing b81b0d6dfc5192a8f385b569551969ab7a1abe92 Checking out Revision b81b0d6dfc5192a8f385b569551969ab7a1abe92 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b81b0d6dfc5192a8f385b569551969ab7a1abe92 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 b81b0d6dfc5192a8f385b569551969ab7a1abe92 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 + docker pull dgllib/dgl-ci-gpu:cu101_v220816 Merge succeeded, producing b81b0d6dfc5192a8f385b569551969ab7a1abe92 Checking out Revision b81b0d6dfc5192a8f385b569551969ab7a1abe92 (PR-4814) Merge succeeded, producing b81b0d6dfc5192a8f385b569551969ab7a1abe92 Checking out Revision b81b0d6dfc5192a8f385b569551969ab7a1abe92 (PR-4814) 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 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" Cleaning workspace [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b81b0d6dfc5192a8f385b569551969ab7a1abe92 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 b81b0d6dfc5192a8f385b569551969ab7a1abe92 # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b81b0d6dfc5192a8f385b569551969ab7a1abe92 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 b81b0d6dfc5192a8f385b569551969ab7a1abe92 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" Cleaning workspace + 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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top b6a23e1b111b1149980c9ba7b46021fd256ae065a9073f0aa944789b979f5924 -eo pid,comm [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository [Pipeline] checkout The recommended git tool is: git Cleaning workspace using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Fetching without tags > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + 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@118102a4; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 2ce657571557b412c66d51325b2be16325ccd574 Merge succeeded, producing 2ce657571557b412c66d51325b2be16325ccd574 Checking out Revision 2ce657571557b412c66d51325b2be16325ccd574 (PR-4814) Checking out Revision 2ce657571557b412c66d51325b2be16325ccd574 (PR-4814) > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4814\.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 2ce657571557b412c66d51325b2be16325ccd574 # timeout=10 > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 2ce657571557b412c66d51325b2be16325ccd574 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" Cleaning workspace Merge succeeded, producing 41637e8cf9830b03b0a497092ee1815d43ba1108 Checking out Revision 41637e8cf9830b03b0a497092ee1815d43ba1108 (PR-4814) First time build. Skipping changelog. Cleaning workspace Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 41637e8cf9830b03b0a497092ee1815d43ba1108 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 41637e8cf9830b03b0a497092ee1815d43ba1108 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat [Pipeline] sh [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814>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-4814/third_party/METIS'... > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 2ce657571557b412c66d51325b2be16325ccd574 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git checkout -b PR-4814 2ce657571557b412c66d51325b2be16325ccd574 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814@2>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-4814/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... 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 ‘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’ 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-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/third_party/METIS/GKlib'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/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-4814/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/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/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-4814/third_party/tensorpipe/third_party/googletest'... 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-4814/third_party/tensorpipe/third_party/libnop'... 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-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@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-4814@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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-4814/third_party/thrust/dependencies/cub'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' 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' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' 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-4814/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... 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-4814/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into '/root/jenkins/workspace/dgl_PR-4814/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 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 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' 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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' [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 Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4814 ~/jenkins/workspace/dgl_PR-4814/build ~/jenkins/workspace/dgl_PR-4814 total 289M -rwxr-xr-x 1 root root 287M Nov 7 09:54 libdgl.so -rwxr-xr-x 1 root root 2.4M Nov 7 09:54 runUnitTests drwxr-xr-x 3 root root 4.0K Nov 7 10:08 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4814@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 [10:08:14] /root/jenkins/workspace/dgl_PR-4814@2/src/rpc/network/msg_queue.cc:28: 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 Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4814\third_party\googletest\googletest\src\gtest_main.cc [==========] Running 89 tests from 21 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [10:08:14] C:\Jenkins\workspace\dgl_PR-4814\src\rpc\network\msg_queue.cc:28: 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 (10 ms) [----------] 3 tests from MessageQueueTest (10 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv 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-4814@2/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4814@2/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\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814@2>CALL tests\scripts\task_unit_test.bat pytorch 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-4814-3\lib\site-packages (5.9.3) 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) Collecting rdflib Using cached rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) 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: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: python-dateutil>=2.7.3 in c:\program files\python36\lib\site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in c:\program files\python36\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) Requirement already satisfied: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) 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 ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4814-3\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4814@2 collecting ... [ OK ] SocketCommunicatorTest.SendAndRecv (7002 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout [ OK ] SocketCommunicatorTest.SendAndRecv (6009 ms) [----------] 1 test from SocketCommunicatorTest (6009 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 (8 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (5 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (3 ms) [ RUN ] RowwiseTest.TestCOOSampling collected 3531 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] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5000 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (1 ms) [----------] 3 tests from SocketCommunicatorTest (12003 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (713 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (2 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (1 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (718 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (349 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (355 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 (8 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (5 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (4 ms) [ RUN ] RowwiseTest.TestCOOSampling [ OK ] RowwiseTest.TestCOOSampling (6072 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (644 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling [ OK ] RowwiseTest.TestCOOPerEtypeSampling (977 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (651 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (0 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (64 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (8428 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] RowwiseTest.TestCOOSampling (5256 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] SampleUtilsTest.TestWithReplacement (2455 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] RowwiseTest.TestCOOSamplingUniform (873 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] [ OK ] RowwiseTest.TestCOOPerEtypeSampling (1303 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (874 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (0 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (92 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (8419 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] [ OK ] SampleUtilsTest.TestWithReplacement (3191 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (8135 ms) [----------] 3 tests from SampleUtilsTest (10590 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 (36 ms) [----------] 3 tests from RandomTest (37 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (2 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (2 ms) [----------] 4 tests from Serialize (5 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = class std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = class std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (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 (7 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 (1 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 (140 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 (166 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (7 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 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 (2 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (4 ms) [----------] 7 tests from UniGraphTest (23 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (25275 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (5081 ms) [----------] 3 tests from SampleUtilsTest (8273 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (0 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (1 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 (2 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (0 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (2 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 (5 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 (2 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 (55 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (6 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (1 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (2 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (88 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 (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (2 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (14 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (1 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 (15 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (0 ms) [----------] 4 tests from ZeroCopySerialize (0 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (29943 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4814 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 b6a23e1b111b1149980c9ba7b46021fd256ae065a9073f0aa944789b979f5924 [WS-CLEANUP] done $ docker rm -f b6a23e1b111b1149980c9ba7b46021fd256ae065a9073f0aa944789b979f5924 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4814 [Pipeline] // node [Pipeline] } [Pipeline] { [Pipeline] // stage [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] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 Merge succeeded, producing 0b63c74986fc9d91f9748729acd24989b40364c1 Checking out Revision 0b63c74986fc9d91f9748729acd24989b40364c1 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0b63c74986fc9d91f9748729acd24989b40364c1 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 0b63c74986fc9d91f9748729acd24989b40364c1 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top eb66f1248e01aaed17e17517aac0f22bb552069107a1bef0eeca7e77ed82ec70 -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@575856d2; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing f4a7d3c78d647ade98d22b76e4137ffb1a0688f8 Checking out Revision f4a7d3c78d647ade98d22b76e4137ffb1a0688f8 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f f4a7d3c78d647ade98d22b76e4137ffb1a0688f8 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 f4a7d3c78d647ade98d22b76e4137ffb1a0688f8 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] [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-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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 Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 9.4 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 43.4 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 109.3 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 65.7 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 16.5 MB/s eta 0:00:00 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: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) 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: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: typing-extensions>=4.1.0 in 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[ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 890.2/890.2 MB 3.7 MB/s eta 0:00:00 PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting nvidia-cuda-runtime-cu11==11.7.99 Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 78.2 MB/s eta 0:00:00 Collecting nvidia-cuda-nvrtc-cu11==11.7.99 Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 86.3 MB/s eta 0:00:00 Collecting nvidia-cublas-cu11==11.10.3.66 Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 9.8 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 5.9 MB/s eta 0:00:00 PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] Requirement already satisfied: wheel in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->ogb) (0.37.1) 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) Installing collected packages: pytz, littleutils, threadpoolctl, pyyaml, pydantic, psutil, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, isodate, scikit-learn, rdflib, pandas, outdated, nvidia-cudnn-cu11, torch, ogb PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] 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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/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814 collecting ... collected 2477 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%] 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[ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] 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...) 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tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] 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 [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-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_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 2%] 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tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 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 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[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 11%] 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[ 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 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 14%] 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tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 16%] 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%] 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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 [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampler.py::test_create_full PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 19%] 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 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 [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 20%] 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] 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%] 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tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] 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 [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 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 [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 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 [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 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 [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt SKIPPED (Do not su...) [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 28%] 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 [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] 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 [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] 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 [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] 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 [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] 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] Cleaning workspace Fetching without tags PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] Merge succeeded, producing cabf46a93566a07ea03acddfbd27c3b595204d0c Checking out Revision cabf46a93566a07ea03acddfbd27c3b595204d0c (PR-4814) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cabf46a93566a07ea03acddfbd27c3b595204d0c # timeout=10 PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 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] Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 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 [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc SKIPPED (Do not support wi...) [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] 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PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] 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PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] [Pipeline] sh PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] + docker pull dgllib/dgl-ci-cpu:v220816 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 cabf46a93566a07ea03acddfbd27c3b595204d0c # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 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 [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] 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] 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 PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 20%]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] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 23%] 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tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] 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PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] $ docker top d2befe6d0207836eb1172de0b4b1e79a4ac0afe02d02f5ac22dfff3ce5367ea4 -eo pid,comm [Pipeline] { PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] 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tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@40fb487f; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] Fetching without tags 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%]PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] Merge succeeded, producing 1979f456a5cab067dc069171f7a702256ac3fd4e Checking out Revision 1979f456a5cab067dc069171f7a702256ac3fd4e (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1979f456a5cab067dc069171f7a702256ac3fd4e # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 1979f456a5cab067dc069171f7a702256ac3fd4e # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] [Pipeline] sh PASSED [ 31%] 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/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] 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-4814/third_party/METIS'... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 34%]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] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... 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 [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 34%] 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tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] 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 [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 46%] tests/pytorch/tPASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sumest_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 46%] tests/pytorch/te-mul-shp0-g1] st_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 47%]PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 51%]PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 52%]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] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 53%] tests/pytorch/test_nn.py::test_sequential PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 53%] 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54%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%]PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-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 [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 36%] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 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 [ 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... 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 [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 38%] 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 38%] 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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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 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] 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 [ 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] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 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 [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/xbyak'... 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] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 55%] 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-4814/third_party/METIS/GKlib'... 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 [ 41%] 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] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' 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] 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' 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/googletest'... 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 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-4814/third_party/tensorpipe/third_party/libnop'... 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 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%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11'... 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 [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 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] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' 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] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] 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-4814/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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 [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 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] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] 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-4814/third_party/thrust/dependencies/cub'... 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 [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] 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] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] 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] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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] 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-4814/third_party/tvm/3rdparty/dlpack'... PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 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] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' 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] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' 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] Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] 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] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash 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] [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 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] + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4814 ~/jenkins/workspace/dgl_PR-4814/build ~/jenkins/workspace/dgl_PR-4814 total 15M -rwxr-xr-x 1 root root 12M Nov 7 09:46 libdgl.so -rwxr-xr-x 1 root root 2.4M Nov 7 09:46 runUnitTests drwxr-xr-x 3 root root 4.0K Nov 7 10:12 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4814/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 [10:12:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/msg_queue.cc:28: 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 (66 ms) [----------] 3 tests from MessageQueueTest (66 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 56%]PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 56%] tests/pytorch/test_nn.py::test_twirls PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] 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 [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] 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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] 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 [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] 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 [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%]PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] 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 [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] 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 [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] 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] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] 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 [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] [ OK ] SocketCommunicatorTest.SendAndRecv (7013 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] 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 [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] 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 [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5003 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (1 ms) [----------] 3 tests from SocketCommunicatorTest (12017 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_ (2 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (3 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (1 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (3 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (1 ms) [----------] 2 tests from DisjointUnionTest (4 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 (1 ms) [----------] 2 tests from MatrixUnionTest (1 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (2 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (0 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (4 ms) [----------] 3 tests from CsrmmTest (6 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 (14 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (8 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (4 ms) [ RUN ] RowwiseTest.TestCOOSampling PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] 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 [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] 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 [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] 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 [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 69%]PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] 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 [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] 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 [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] 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 [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] 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 [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] 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 [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] 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] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] 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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] 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] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] 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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] 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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] 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 [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] 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 [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] 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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] 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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] 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 [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] 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 [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-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 [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] 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 [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 81%]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] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] 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 [ 82%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] 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 [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] 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 [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1] SKIPPED (Do not sup...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[4] SKIPPED (Do not sup...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[101] SKIPPED (Do not s...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1024] SKIPPED (Do not ...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] SKIPPED (...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] SKIPPED (...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 86%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 86%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 86%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 86%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 86%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 86%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 86%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 86%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 86%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (D...) [ 86%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 86%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype0] PASSED [ 88%] 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tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-2] SKIPPED [ 93%]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] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-2] SKIPPED [ 93%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 96%] 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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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [100%] ============================== warnings summary =============================== python\dgl\backend\backend.py:1841 C:\Jenkins\workspace\dgl_PR-4814@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: 84 warnings C:\Jenkins\workspace\dgl_PR-4814@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: 52 warnings C:\Jenkins\workspace\dgl_PR-4814@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-4814@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-4814@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-4814@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-4814@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] C:\Jenkins\workspace\dgl_PR-4814@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-4814@2\pytest_backend.xml -- ============================ slowest 100 durations ============================ 16.04s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 11.48s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 9.80s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 9.73s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 8.88s call tests/pytorch/test_dataloader.py::test_shadow[0] 8.55s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 8.39s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 8.36s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 8.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 8.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 8.20s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 8.08s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 8.05s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 6.78s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 5.77s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 5.68s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 5.62s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 5.58s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 5.57s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] 5.52s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 5.49s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 5.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 5.46s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 5.41s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 5.34s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 3.67s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 2.60s call tests/pytorch/test_dataloader.py::test_shadow[4] 2.54s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 2.51s call tests/pytorch/test_dataloader.py::test_saint[node-4] 1.34s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.34s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.34s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 1.32s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.24s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 1.24s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.23s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.23s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.82s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.68s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.62s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.41s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] 0.41s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] 0.40s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] 0.39s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] 0.35s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] 0.35s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] 0.33s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] 0.32s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.32s call tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] 0.30s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] 0.30s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] 0.30s call tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] 0.29s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.28s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] 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-neighbor-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-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_sampler0-neighbor-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.23s 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_sampler0-neighbor-idtype0] 0.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] 0.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 0.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] ========= 3128 passed, 403 skipped, 156 warnings in 303.93s (0:05:03) ========= PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4814-3\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4814@2 collecting ... PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] 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 [ 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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] collected 2477 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 [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%]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%] 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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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] 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] [ OK ] RowwiseTest.TestCOOSampling (82274 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (13318 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] 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 [ 4%] tests/compute/test_data.py::test_fraud PASSED [ 4%] tests/compute/test_data.py::test_fakenews PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] SKIPPED [ 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_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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_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-4814/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-4814/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-4814/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-4814/python/dgl/data/graph_serialize.py:196: 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-4814/python/dgl/transforms/functional.py:1269: 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-4814/python/dgl/transforms/functional.py:1272: 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-4814/pytest_compute.xml -- ============================ slowest 100 durations ============================= 32.21s call tests/compute/test_kernel.py::test_all_binary_builtins 4.13s call tests/compute/test_heterograph.py::test_forking_pickler 0.98s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.85s call tests/compute/test_graph.py::test_query 0.68s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.61s call tests/compute/test_heterograph.py::test_query[idtype1] 0.53s call tests/compute/test_heterograph.py::test_query[idtype0] 0.49s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.45s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.34s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.32s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.31s call tests/compute/test_kernel.py::test_copy_src_reduce 0.28s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.28s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.27s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.24s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.24s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.24s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.24s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.24s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.23s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 0.19s 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-v-e-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-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-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-shp4-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-e-u-shp2-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-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_lhs-v-u-shp1-g0] 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-v-u-shp4-g1] 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-e-u-shp0-g1] 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-v-u-shp2-g0] 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-u-v-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-u-shp3-g1] 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-dot-e-v-shp1-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-v-u-shp4-g0] 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-dot-e-v-shp2-g0] 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-shp4-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-e-shp2-g0] 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-u-e-shp4-g0] 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_lhs-v-u-shp2-g1] 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-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] ========= 2227 passed, 250 skipped, 214 warnings in 248.10s (0:04:08) ========== ============================= 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-4814 collecting ... collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 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 [ 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%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 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] [ OK ] RowwiseTest.TestCOOPerEtypeSampling (20620 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] 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-4814/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-4814/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-4814/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-4814/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.33s call tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] 0.27s 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] 0.10s call tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] 0.07s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 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-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] 0.04s 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-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[1-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-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_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[1-1-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 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-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-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[4-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-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[1-1-g3-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[4-2-g2-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[1-2-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[1-1-g4-idtype1] 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[4-2-g1-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[4-1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-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[1-1-g0-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[4-1-g3-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[4-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-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[4-1-g2-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[1-2-g1-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[4-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_glob_att_pool 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.02s 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[4-1-g0-idtype1] ====================== 920 passed, 35 warnings in 13.88s ======================= [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 eb66f1248e01aaed17e17517aac0f22bb552069107a1bef0eeca7e77ed82ec70 $ docker rm -f eb66f1248e01aaed17e17517aac0f22bb552069107a1bef0eeca7e77ed82ec70 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 Merge succeeded, producing bebabd74b2a5890f4cca0c094130029510dfe8ab Checking out Revision bebabd74b2a5890f4cca0c094130029510dfe8ab (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f bebabd74b2a5890f4cca0c094130029510dfe8ab # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 bebabd74b2a5890f4cca0c094130029510dfe8ab # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-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 --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top 3e23ac9b719d5d67efd75b546d96aa9fecd5c9206151255d1d9a47b4ce0a7615 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh + nvidia-smi Mon Nov 7 10:15:10 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@2f71dccc; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing aa43c960e2e1ca1d4e91e37965833cac3429ccb7 Checking out Revision aa43c960e2e1ca1d4e91e37965833cac3429ccb7 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f aa43c960e2e1ca1d4e91e37965833cac3429ccb7 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 aa43c960e2e1ca1d4e91e37965833cac3429ccb7 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (13297 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (0 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (1288 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (3 ms) [----------] 11 tests from RowwiseTest (130827 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement + 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-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... [ OK ] SampleUtilsTest.TestWithReplacement (2782 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3942 ms) [----------] 3 tests from SampleUtilsTest (6724 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 (11 ms) [----------] 3 tests from RandomTest (12 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (67 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (43 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (48 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (88 ms) [----------] 4 tests from Serialize (246 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 (369 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (1 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (73 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (5 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (0 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (743 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (7 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (1 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (1199 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (1 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (1 ms) [----------] 6 tests from SpmmTest (5 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (120 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (278 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (78 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (178 ms) [----------] 7 tests from UniGraphTest (655 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (56 ms) [----------] 4 tests from ZeroCopySerialize (56 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (151822 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4814 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 d2befe6d0207836eb1172de0b4b1e79a4ac0afe02d02f5ac22dfff3ce5367ea4 $ docker rm -f d2befe6d0207836eb1172de0b4b1e79a4ac0afe02d02f5ac22dfff3ce5367ea4 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +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/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing d2a77885e7392138ae05352370cb19c0f854ff47 Checking out Revision d2a77885e7392138ae05352370cb19c0f854ff47 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d2a77885e7392138ae05352370cb19c0f854ff47 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 d2a77885e7392138ae05352370cb19c0f854ff47 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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:v220816 v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top 4e6455ff523431f5ccd0d996a784ac5f099d3535b967a3e655edd85ebc8f0b14 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow 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@5fd11347; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Merge succeeded, producing b37101884bec1c1f81e47c07745892cacaec1cb3 Checking out Revision b37101884bec1c1f81e47c07745892cacaec1cb3 (PR-4814) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b37101884bec1c1f81e47c07745892cacaec1cb3 # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... [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' > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 b37101884bec1c1f81e47c07745892cacaec1cb3 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... 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 Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... [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 pytorch gpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 8.2 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 35.9 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 103.9 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 65.6 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: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 10.0 MB/s eta 0:00:00 Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) 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: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: 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: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: 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: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib Successfully installed isodate-0.6.1 psutil-5.9.3 pydantic-1.10.2 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/third_party/METIS/GKlib'... collected 2477 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/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 [ 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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 [ 1%] 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' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' 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 [ 2%] 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%] 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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 [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 3%] 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%] 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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...) [ 4%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 4%] 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...) 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[ 5%] tests/compute/test_data.py::test_as_nodepred_ogb 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-4814/third_party/tensorpipe/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-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/thrust/dependencies/cub'... PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark 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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow cpu Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 9.2 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 38.4 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 122.2 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 45.0 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 13.7 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: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) 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: 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: 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: typing-extensions>=4.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.6-py2.py3-none-any.whl (498 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 498.1/498.1 kB 57.0 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: 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 7.1 MB/s eta 0:00:00 Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting torch>=1.6.0 Downloading torch-1.13.0-cp37-cp37m-manylinux1_x86_64.whl (890.2 MB) PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) 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[ 5%] tests/compute/test_data.py::test_as_graphpred_ogb ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 890.2/890.2 MB 4.9 MB/s eta 0:00:00 Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) 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) Collecting nvidia-cuda-nvrtc-cu11==11.7.99 Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 103.5 MB/s eta 0:00:00 Collecting nvidia-cublas-cu11==11.10.3.66 Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 14.2 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) PASSED [ 5%] tests/compute/test_data.py::test_reddit ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 8.2 MB/s eta 0:00:00 Collecting nvidia-cuda-runtime-cu11==11.7.99 Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 72.4 MB/s eta 0:00:00 Requirement already satisfied: wheel in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->ogb) (0.37.1) 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) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Installing collected packages: pytz, littleutils, threadpoolctl, pyyaml, pydantic, psutil, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, isodate, scikit-learn, rdflib, pandas, outdated, nvidia-cudnn-cu11, torch, ogb 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 [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) 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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 [ 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] 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tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 16%] 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%] 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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-4814 collecting ... PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) 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tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%]collected 2477 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] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] 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] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 0%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 74%] 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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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] 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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 [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] 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 [ 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 [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%]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] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%]PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Libxs...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) 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[ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 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] 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tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] 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 [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 98%] 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_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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_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-4814/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-4814/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-4814/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-4814/python/dgl/data/graph_serialize.py:196: 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_sparse.py: 80 warnings /root/jenkins/workspace/dgl_PR-4814/tests/compute/test_sparse.py:338: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. and LooseVersion(torch.version.cuda) < LooseVersion("11.0") \ tests/compute/test_sparse.py: 40 warnings /root/jenkins/workspace/dgl_PR-4814/tests/compute/test_sparse.py:391: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. and LooseVersion(torch.version.cuda) < LooseVersion("11.0") \ 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-4814/python/dgl/transforms/functional.py:1269: 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-4814/python/dgl/transforms/functional.py:1272: 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-4814/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-4814/pytest_compute.xml -- ============================ slowest 100 durations ============================= 23.97s call tests/compute/test_data.py::test_as_graphpred_ogb 14.52s call tests/compute/test_data.py::test_as_linkpred_ogb 7.82s call tests/compute/test_data.py::test_as_nodepred_ogb 6.80s call tests/compute/test_sampler.py::test_negative_sampler 3.35s call tests/compute/test_kernel.py::test_all_binary_builtins 1.32s call tests/compute/test_heterograph.py::test_forking_pickler 0.70s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.40s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.28s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.25s call tests/compute/test_graph.py::test_query 0.20s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.19s call tests/compute/test_heterograph.py::test_query[idtype0] 0.19s call tests/compute/test_heterograph.py::test_query[idtype1] 0.19s call tests/compute/test_sampling.py::test_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] 0.15s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.13s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.12s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.12s call tests/compute/test_kernel.py::test_copy_src_reduce 0.12s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.12s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.12s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.11s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.10s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.09s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.08s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.08s call tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] 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 0.06s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype0] 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 0.04s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 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_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype1] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_sampler.py::test_setseed 0.02s call tests/compute/test_serialize.py::test_load_old_files1 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_subgraph.py::test_subgraph1[idtype0] 0.02s call tests/compute/test_transform.py::test_to_block[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_sampler.py::test_layer_sampler 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype1] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.02s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype0] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_float_cast 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 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_uva_subgraph[idtype0-device0] 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_csrmm.py::test_csrsum[dtype1-idtype1] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.01s call tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] 0.01s call tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] 0.01s call tests/compute/test_heterograph.py::test_remove_edges[idtype1] 0.01s call tests/compute/test_readout.py::test_topk[True-g0-idtype0] ========== 2336 passed, 141 skipped, 340 warnings in 83.93s (0:01:23) ========== 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] ============================= 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-4814 collecting ... 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 [ 2%] 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 [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] collected 3531 items 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tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] 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tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 4%] tests/compute/test_data.py::test_fraud PASSED [ 4%] tests/compute/test_data.py::test_fakenews PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 27%] tests/pytorch/test_nn.py::test_set2set PASSED [ 27%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 28%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 28%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 53%] tests/pytorch/test_nn.py::test_sequential PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 56%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 56%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 56%] tests/pytorch/test_nn.py::test_twirls PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 86%] 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tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 96%] 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tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype0] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype0] PASSED [ 98%] 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tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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: 708 warnings /root/jenkins/workspace/dgl_PR-4814/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: 132 warnings /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] /root/jenkins/workspace/dgl_PR-4814/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-4814/pytest_backend.xml -- ============================ slowest 100 durations ============================= 25.86s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.36s call tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] 5.33s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 2.14s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 2.11s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 2.07s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 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] 1.28s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.25s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.24s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.14s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.13s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.10s call tests/pytorch/test_ipc.py::test_torch_ipc 1.07s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.03s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 0.83s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.82s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.81s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.80s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 0.77s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 0.77s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 0.75s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-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] 0.67s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 0.65s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 0.63s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 0.54s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.48s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.47s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.33s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] 0.22s call tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] 0.20s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.18s 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] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-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_sampler1-neighbor-idtype0] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 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] 0.12s 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_unified_tensor.py::test_unified_tensor 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] 0.10s 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_sampler2-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] ========= 3250 passed, 281 skipped, 876 warnings in 122.10s (0:02:02) ========== [Pipeline] } [Pipeline] // timeout [Pipeline] } Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cluster_gcn.pkl cmake conda cora_full cora_full.zip dataset dglgo docker docs examples featgraph include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt pyproject.toml pytest_backend.xml pytest_compute.xml python readthedocs.yml src tensoradapter tests third_party tools tutorials Cleaning workspace Fetching without tags [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@31c5605b; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 0c271677bed69f1b7e4c57865ae2597e7c319889 Checking out Revision 0c271677bed69f1b7e4c57865ae2597e7c319889 (PR-4814) Merge succeeded, producing 8b572935b5d882871eafd1f9f87f0ac845512689 Checking out Revision 8b572935b5d882871eafd1f9f87f0ac845512689 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 8b572935b5d882871eafd1f9f87f0ac845512689 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 8b572935b5d882871eafd1f9f87f0ac845512689 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0c271677bed69f1b7e4c57865ae2597e7c319889 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 0c271677bed69f1b7e4c57865ae2597e7c319889 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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 [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + git submodule update --recursive --init + docker pull dgllib/dgl-ci-cpu:v220816 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' 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 Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb 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' + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container 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' $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4814@2 -v /root/jenkins/workspace/dgl_PR-4814@2:/root/jenkins/workspace/dgl_PR-4814@2:rw,z -v /root/jenkins/workspace/dgl_PR-4814@2@tmp:/root/jenkins/workspace/dgl_PR-4814@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat 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' $ docker top 25e80dbb393eddc58f625e2cdaa3471db4ba5b778427bbe7efa5ed281215431f -eo pid,comm [Pipeline] { [Pipeline] unstash [Pipeline] stage [Pipeline] { (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@371a6f6; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing faedc2b90d2eb5a9aa53b23a84345809b287dbe8 Checking out Revision faedc2b90d2eb5a9aa53b23a84345809b287dbe8 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [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-4814@2/third_party/METIS'... > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f faedc2b90d2eb5a9aa53b23a84345809b287dbe8 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 faedc2b90d2eb5a9aa53b23a84345809b287dbe8 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/googletest'... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_example_test.sh gpu Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/libxsmm'... /root/jenkins/workspace/dgl_PR-4814/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([0.0048, 0.0120, 0.0066, 0.0114, 0.0110, 0.0065, 0.0117, 0.0067, 0.0168, 0.0062, 0.0116, 0.0049, 0.0207, 0.0100, 0.0100, 0.0139, 0.0083, 0.0122, 0.0082, 0.0098, 0.0119, 0.0063, 0.0063, 0.0100, 0.0053, 0.0056, 0.0083, 0.0130, 0.0112, 0.0151, 0.0124, 0.0100, 0.0067, 0.0098, 0.0083, 0.0056, 0.0061, 0.0071, 0.0117, 0.0136, 0.0081, 0.0066, 0.0101, 0.0097, 0.0143, 0.0182, 0.0114, 0.0053, 0.0116, 0.0100, 0.0100, 0.0033, 0.0065, 0.0050, 0.0050, 0.0083, 0.0064, 0.0098, 0.0115, 0.0113, 0.0097, 0.0131, 0.0088, 0.0177, 0.0138, 0.0081, 0.0160, 0.0083, 0.0091, 0.0066, 0.0123, 0.0194, 0.0101, 0.0099, 0.0128, 0.0068, 0.0104, 0.0122, 0.0015, 0.0085, 0.0084, 0.0098, 0.0049, 0.0102, 0.0102, 0.0146, 0.0067, 0.0124, 0.0094, 0.0121, 0.0168, 0.0129, 0.0116, 0.0081, 0.0095, 0.0105, 0.0084, 0.0101, 0.0119, 0.0082]) PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4814/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4814/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 1.9462 | Accuracy 0.0840 Epoch 00001 | Loss 1.9402 | Accuracy 0.0840 Epoch 00002 | Loss 1.9319 | Accuracy 0.2080 Epoch 00003 | Loss 1.9207 | Accuracy 0.5400 Epoch 00004 | Loss 1.9100 | Accuracy 0.6740 Epoch 00005 | Loss 1.9038 | Accuracy 0.6840 Epoch 00006 | Loss 1.8860 | Accuracy 0.6740 Epoch 00007 | Loss 1.8768 | Accuracy 0.6660 Epoch 00008 | Loss 1.8623 | Accuracy 0.6580 Epoch 00009 | Loss 1.8418 | Accuracy 0.6480 Epoch 00010 | Loss 1.8423 | Accuracy 0.6320 Epoch 00011 | Loss 1.8229 | Accuracy 0.6320 Epoch 00012 | Loss 1.8042 | Accuracy 0.6320 Epoch 00013 | Loss 1.7909 | Accuracy 0.6560 Epoch 00014 | Loss 1.7823 | Accuracy 0.6660 Epoch 00015 | Loss 1.7530 | Accuracy 0.6760 Epoch 00016 | Loss 1.7378 | Accuracy 0.6740 Epoch 00017 | Loss 1.7235 | Accuracy 0.6820 Epoch 00018 | Loss 1.7041 | Accuracy 0.6840 Epoch 00019 | Loss 1.6809 | Accuracy 0.6840 Epoch 00020 | Loss 1.6585 | Accuracy 0.6920 Epoch 00021 | Loss 1.6433 | Accuracy 0.6960 Epoch 00022 | Loss 1.6367 | Accuracy 0.7040 Epoch 00023 | Loss 1.6113 | Accuracy 0.7100 Epoch 00024 | Loss 1.5887 | Accuracy 0.7160 Epoch 00025 | Loss 1.5545 | Accuracy 0.7160 Epoch 00026 | Loss 1.5503 | Accuracy 0.7240 Epoch 00027 | Loss 1.5314 | Accuracy 0.7240 Epoch 00028 | Loss 1.5174 | Accuracy 0.7320 Epoch 00029 | Loss 1.4724 | Accuracy 0.7340 Epoch 00030 | Loss 1.4431 | Accuracy 0.7480 Epoch 00031 | Loss 1.4617 | Accuracy 0.7560 Epoch 00032 | Loss 1.4005 | Accuracy 0.7600 Epoch 00033 | Loss 1.3947 | Accuracy 0.7600 Epoch 00034 | Loss 1.3797 | Accuracy 0.7580 Epoch 00035 | Loss 1.3450 | Accuracy 0.7560 Epoch 00036 | Loss 1.3590 | Accuracy 0.7560 Epoch 00037 | Loss 1.3075 | Accuracy 0.7500 Epoch 00038 | Loss 1.2982 | Accuracy 0.7540 Epoch 00039 | Loss 1.2633 | Accuracy 0.7480 Epoch 00040 | Loss 1.2051 | Accuracy 0.7500 Epoch 00041 | Loss 1.2434 | Accuracy 0.7520 Epoch 00042 | Loss 1.1883 | Accuracy 0.7480 Epoch 00043 | Loss 1.1517 | Accuracy 0.7460 Epoch 00044 | Loss 1.1593 | Accuracy 0.7420 Epoch 00045 | Loss 1.1376 | Accuracy 0.7460 Epoch 00046 | Loss 1.1056 | Accuracy 0.7420 Epoch 00047 | Loss 1.1013 | Accuracy 0.7560 Epoch 00048 | Loss 1.0734 | Accuracy 0.7620 Epoch 00049 | Loss 1.1029 | Accuracy 0.7700 Epoch 00050 | Loss 1.0207 | Accuracy 0.7720 Epoch 00051 | Loss 1.0150 | Accuracy 0.7740 Epoch 00052 | Loss 0.9742 | Accuracy 0.7720 Epoch 00053 | Loss 0.9830 | Accuracy 0.7740 Epoch 00054 | Loss 0.9546 | Accuracy 0.7740 Epoch 00055 | Loss 0.9470 | Accuracy 0.7760 Epoch 00056 | Loss 0.9440 | Accuracy 0.7760 Epoch 00057 | Loss 0.8983 | Accuracy 0.7780 Epoch 00058 | Loss 0.8773 | Accuracy 0.7760 Epoch 00059 | Loss 0.8753 | Accuracy 0.7760 Epoch 00060 | Loss 0.8628 | Accuracy 0.7820 Epoch 00061 | Loss 0.8896 | Accuracy 0.7820 Epoch 00062 | Loss 0.8604 | Accuracy 0.7840 Epoch 00063 | Loss 0.8498 | Accuracy 0.7820 Epoch 00064 | Loss 0.8542 | Accuracy 0.7820 Epoch 00065 | Loss 0.7951 | Accuracy 0.7800 Epoch 00066 | Loss 0.8125 | Accuracy 0.7820 Epoch 00067 | Loss 0.7642 | Accuracy 0.7840 Epoch 00068 | Loss 0.7994 | Accuracy 0.7880 Epoch 00069 | Loss 0.7305 | Accuracy 0.7860 Epoch 00070 | Loss 0.7924 | Accuracy 0.7820 Epoch 00071 | Loss 0.6794 | Accuracy 0.7800 Epoch 00072 | Loss 0.7369 | Accuracy 0.7800 Epoch 00073 | Loss 0.7403 | Accuracy 0.7800 Epoch 00074 | Loss 0.7009 | Accuracy 0.7820 Epoch 00075 | Loss 0.7049 | Accuracy 0.7880 Epoch 00076 | Loss 0.6866 | Accuracy 0.7840 Epoch 00077 | Loss 0.6935 | Accuracy 0.7880 Epoch 00078 | Loss 0.6677 | Accuracy 0.7880 Epoch 00079 | Loss 0.6392 | Accuracy 0.7880 Epoch 00080 | Loss 0.6326 | Accuracy 0.7900 Epoch 00081 | Loss 0.6459 | Accuracy 0.7860 Epoch 00082 | Loss 0.6112 | Accuracy 0.7820 Epoch 00083 | Loss 0.6497 | Accuracy 0.7800 Epoch 00084 | Loss 0.6188 | Accuracy 0.7780 Epoch 00085 | Loss 0.6003 | Accuracy 0.7800 Epoch 00086 | Loss 0.5822 | Accuracy 0.7800 Epoch 00087 | Loss 0.5949 | Accuracy 0.7820 Epoch 00088 | Loss 0.5670 | Accuracy 0.7840 Epoch 00089 | Loss 0.5830 | Accuracy 0.7880 Epoch 00090 | Loss 0.5940 | Accuracy 0.7920 Epoch 00091 | Loss 0.5618 | Accuracy 0.7940 Epoch 00092 | Loss 0.5712 | Accuracy 0.7960 Epoch 00093 | Loss 0.5684 | Accuracy 0.7960 Epoch 00094 | Loss 0.5640 | Accuracy 0.7900 Epoch 00095 | Loss 0.5826 | Accuracy 0.7880 Epoch 00096 | Loss 0.5618 | Accuracy 0.7860 Epoch 00097 | Loss 0.4987 | Accuracy 0.7900 Epoch 00098 | Loss 0.4898 | Accuracy 0.7880 Epoch 00099 | Loss 0.5237 | Accuracy 0.7840 Epoch 00100 | Loss 0.5630 | Accuracy 0.7880 Epoch 00101 | Loss 0.5193 | Accuracy 0.7920 Epoch 00102 | Loss 0.5400 | Accuracy 0.7960 Epoch 00103 | Loss 0.5397 | Accuracy 0.7940 Epoch 00104 | Loss 0.4800 | Accuracy 0.7940 Epoch 00105 | Loss 0.4933 | Accuracy 0.7940 Epoch 00106 | Loss 0.5279 | Accuracy 0.7920 Epoch 00107 | Loss 0.5274 | Accuracy 0.7900 Epoch 00108 | Loss 0.4959 | Accuracy 0.7920 Epoch 00109 | Loss 0.4880 | Accuracy 0.7900 Epoch 00110 | Loss 0.4880 | Accuracy 0.7920 Epoch 00111 | Loss 0.4820 | Accuracy 0.7920 Epoch 00112 | Loss 0.4979 | Accuracy 0.7900 Epoch 00113 | Loss 0.4618 | Accuracy 0.7920 Epoch 00114 | Loss 0.4630 | Accuracy 0.7900 Epoch 00115 | Loss 0.4455 | Accuracy 0.7920 Epoch 00116 | Loss 0.4690 | Accuracy 0.7940 Epoch 00117 | Loss 0.4305 | Accuracy 0.7920 Epoch 00118 | Loss 0.4496 | Accuracy 0.7900 Epoch 00119 | Loss 0.4634 | Accuracy 0.7900 Epoch 00120 | Loss 0.4593 | Accuracy 0.7920 Epoch 00121 | Loss 0.4744 | Accuracy 0.7920 Epoch 00122 | Loss 0.4291 | Accuracy 0.7900 Epoch 00123 | Loss 0.4371 | Accuracy 0.7880 Epoch 00124 | Loss 0.4436 | Accuracy 0.7880 Epoch 00125 | Loss 0.4533 | Accuracy 0.7860 Epoch 00126 | Loss 0.4496 | Accuracy 0.7880 Epoch 00127 | Loss 0.4245 | Accuracy 0.7880 Epoch 00128 | Loss 0.4813 | Accuracy 0.7880 Epoch 00129 | Loss 0.4711 | Accuracy 0.7900 Epoch 00130 | Loss 0.4213 | Accuracy 0.7940 Epoch 00131 | Loss 0.4109 | Accuracy 0.7900 Epoch 00132 | Loss 0.4069 | Accuracy 0.7880 Epoch 00133 | Loss 0.3849 | Accuracy 0.7880 Epoch 00134 | Loss 0.4164 | Accuracy 0.7880 Epoch 00135 | Loss 0.4242 | Accuracy 0.7860 Epoch 00136 | Loss 0.4269 | Accuracy 0.7880 Epoch 00137 | Loss 0.4399 | Accuracy 0.7860 Epoch 00138 | Loss 0.4252 | Accuracy 0.7920 Epoch 00139 | Loss 0.3652 | Accuracy 0.7940 Epoch 00140 | Loss 0.3897 | Accuracy 0.7920 Epoch 00141 | Loss 0.3897 | Accuracy 0.7880 Epoch 00142 | Loss 0.3849 | Accuracy 0.7880 Epoch 00143 | Loss 0.3835 | Accuracy 0.7860 Epoch 00144 | Loss 0.3857 | Accuracy 0.7880 Epoch 00145 | Loss 0.3800 | Accuracy 0.7900 Epoch 00146 | Loss 0.4059 | Accuracy 0.7880 Epoch 00147 | Loss 0.3832 | Accuracy 0.7860 Epoch 00148 | Loss 0.4030 | Accuracy 0.7880 Epoch 00149 | Loss 0.3905 | Accuracy 0.7900 Epoch 00150 | Loss 0.3845 | Accuracy 0.7880 Epoch 00151 | Loss 0.4089 | Accuracy 0.7880 Epoch 00152 | Loss 0.3758 | Accuracy 0.7880 Epoch 00153 | Loss 0.3829 | Accuracy 0.7900 Epoch 00154 | Loss 0.3793 | Accuracy 0.7900 Epoch 00155 | Loss 0.3671 | Accuracy 0.7860 Epoch 00156 | Loss 0.4049 | Accuracy 0.7880 Epoch 00157 | Loss 0.3818 | Accuracy 0.7860 Epoch 00158 | Loss 0.3579 | Accuracy 0.7900 Epoch 00159 | Loss 0.3484 | Accuracy 0.7880 Epoch 00160 | Loss 0.3371 | Accuracy 0.7840 Epoch 00161 | Loss 0.3626 | Accuracy 0.7840 Epoch 00162 | Loss 0.3563 | Accuracy 0.7820 Epoch 00163 | Loss 0.3766 | Accuracy 0.7820 Epoch 00164 | Loss 0.3822 | Accuracy 0.7860 Epoch 00165 | Loss 0.3670 | Accuracy 0.7840 Epoch 00166 | Loss 0.3731 | Accuracy 0.7840 Epoch 00167 | Loss 0.3258 | Accuracy 0.7860 Epoch 00168 | Loss 0.3768 | Accuracy 0.7880 Epoch 00169 | Loss 0.3544 | Accuracy 0.7860 Epoch 00170 | Loss 0.3651 | Accuracy 0.7860 Epoch 00171 | Loss 0.3589 | Accuracy 0.7900 Epoch 00172 | Loss 0.3347 | Accuracy 0.7900 Epoch 00173 | Loss 0.3431 | Accuracy 0.7880 Epoch 00174 | Loss 0.3263 | Accuracy 0.7860 Epoch 00175 | Loss 0.3144 | Accuracy 0.7860 Epoch 00176 | Loss 0.3646 | Accuracy 0.7880 Epoch 00177 | Loss 0.3278 | Accuracy 0.7880 Epoch 00178 | Loss 0.3412 | Accuracy 0.7880 Epoch 00179 | Loss 0.3205 | Accuracy 0.7880 Epoch 00180 | Loss 0.3420 | Accuracy 0.7840 Epoch 00181 | Loss 0.3256 | Accuracy 0.7860 Epoch 00182 | Loss 0.3339 | Accuracy 0.7860 Epoch 00183 | Loss 0.3300 | Accuracy 0.7860 Epoch 00184 | Loss 0.3247 | Accuracy 0.7860 Epoch 00185 | Loss 0.3249 | Accuracy 0.7880 Epoch 00186 | Loss 0.3217 | Accuracy 0.7900 Epoch 00187 | Loss 0.2981 | Accuracy 0.7900 Epoch 00188 | Loss 0.3393 | Accuracy 0.7820 Epoch 00189 | Loss 0.3321 | Accuracy 0.7800 Epoch 00190 | Loss 0.3170 | Accuracy 0.7800 Epoch 00191 | Loss 0.3485 | Accuracy 0.7780 Epoch 00192 | Loss 0.3237 | Accuracy 0.7780 Epoch 00193 | Loss 0.3559 | Accuracy 0.7820 Epoch 00194 | Loss 0.3178 | Accuracy 0.7860 Epoch 00195 | Loss 0.3455 | Accuracy 0.7900 Epoch 00196 | Loss 0.3294 | Accuracy 0.7940 Epoch 00197 | Loss 0.3217 | Accuracy 0.7940 Epoch 00198 | Loss 0.3353 | Accuracy 0.7940 Epoch 00199 | Loss 0.3279 | Accuracy 0.7920 Testing... Test accuracy 0.7960 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, 6.1491e-06, 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, 9.9963e-01, 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, 4.5654e-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 3e23ac9b719d5d67efd75b546d96aa9fecd5c9206151255d1d9a47b4ce0a7615 $ docker rm -f 3e23ac9b719d5d67efd75b546d96aa9fecd5c9206151255d1d9a47b4ce0a7615 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4814 [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-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing f98a07b38ed43489b03c7d967720e92f604b3f9e Checking out Revision f98a07b38ed43489b03c7d967720e92f604b3f9e (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f f98a07b38ed43489b03c7d967720e92f604b3f9e # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 f98a07b38ed43489b03c7d967720e92f604b3f9e # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe'... + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/thrust'... 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:e2e62a12692e2748b06af925280deb518701a0a601478edbeba0bcb9b89ef847 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 . [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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 cat Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm'... $ docker top 5bacfbd305a142dc4193040b309fbee9705c93c55f229de3bacb8d37b3f8620c -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Unit test) [Pipeline] sh + nvidia-smi Mon Nov 7 10:19:57 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 | +-----------------------------------------------------------------------------+ [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@71922ad3; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 Merge succeeded, producing a898c9c41c7cf2ba24c93e4054bda1cff2f92e86 Checking out Revision a898c9c41c7cf2ba24c93e4054bda1cff2f92e86 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a898c9c41c7cf2ba24c93e4054bda1cff2f92e86 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 a898c9c41c7cf2ba24c93e4054bda1cff2f92e86 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... 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-4814@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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-4814@2/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/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-4814@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-4814@2/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-4814@2/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@2/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-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 9.4 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 20.1 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 118.9 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 63.2 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: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: 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: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 7.5 MB/s eta 0:00:00 Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cpu) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: 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: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib Successfully installed isodate-0.6.1 psutil-5.9.3 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 Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... ============================= 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-4814@2 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... collected 2477 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11'... PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 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-4814/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-4814/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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb 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%] 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tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] Collecting pytest Downloading pytest-7.2.0-py3-none-any.whl (316 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 316.8/316.8 kB 10.6 MB/s eta 0:00:00 Requirement already satisfied: psutil in /opt/conda/lib/python3.9/site-packages (5.9.3) Requirement already satisfied: pyyaml in /opt/conda/lib/python3.9/site-packages (6.0) Collecting pydantic Downloading pydantic-1.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.2 MB) PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.2/13.2 MB 109.0 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/lib/python3.9/site-packages (1.5.1) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 70.8 MB/s eta 0:00:00 PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] 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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-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814 collecting ... collected 3 items tests/cugraph/test_basics.py::test_dummy PASSED [ 33%] tests/cugraph/test_basics.py::test_to_cugraph_conversion PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) 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[ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 4%] tests/compute/test_data.py::test_fraud 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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4814/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 12.72s 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, 9 warnings in 19.49s ======================== [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 5bacfbd305a142dc4193040b309fbee9705c93c55f229de3bacb8d37b3f8620c $ docker rm -f 5bacfbd305a142dc4193040b309fbee9705c93c55f229de3bacb8d37b3f8620c [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4814 [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 [ 4%] tests/compute/test_data.py::test_fakenews Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +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/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing bae069e31f036ac189c7bc917c6336296565c49e Checking out Revision bae069e31f036ac189c7bc917c6336296565c49e (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f bae069e31f036ac189c7bc917c6336296565c49e # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 bae069e31f036ac189c7bc917c6336296565c49e # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top fd6b60761991a469eb3a0a04e57db25bcdae645a0e4f71eb302fe5c0c0799d07 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) [Pipeline] sh + nvidia-smi Mon Nov 7 10:21:27 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 42C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh + 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@116cceff; decorates RemoteLauncher[hudson.remoting.Channel@473dd600: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing 24e05293748538472565eace8912a1d8ba9fa3b9 Checking out Revision 24e05293748538472565eace8912a1d8ba9fa3b9 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 24e05293748538472565eace8912a1d8ba9fa3b9 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 24e05293748538472565eace8912a1d8ba9fa3b9 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Cloning into '/root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/third_party/tensorpipe/third_party/googletest'... 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 [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] 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 [ 6%] tests/compute/test_graph.py::test_query 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 [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] 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 [ 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 [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) 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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 [ 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] 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-4814/third_party/thrust/dependencies/cub'... PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark 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-4814/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 5%] tests/compute/test_data.py::test_reddit [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 mxnet gpu Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 10.7 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 45.7 MB/s eta 0:00:00 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 [ 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/opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.1.1) 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: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (22.1.0) 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: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (2.0.1) 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) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.6-py2.py3-none-any.whl (498 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 498.1/498.1 kB 66.1 MB/s eta 0:00:00 Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.5 MB/s eta 0:00:00 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 scikit-learn>=0.20.0 PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Collecting torch>=1.6.0 Downloading torch-1.13.0-cp37-cp37m-manylinux1_x86_64.whl (890.2 MB) 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 (...) 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[ 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 [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] 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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 12%] 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 14%] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 15%] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 16%] 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 18%] 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 [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampler.py::test_create_full PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 19%] 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 PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 890.2/890.2 MB 3.8 MB/s eta 0:00:00 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) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting nvidia-cublas-cu11==11.10.3.66 Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB) Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814@3 [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 [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 9.7 MB/s eta 0:00:00 Merge succeeded, producing c88ddac3b66ca0055446712d840680992b74b5ba Checking out Revision c88ddac3b66ca0055446712d840680992b74b5ba (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c88ddac3b66ca0055446712d840680992b74b5ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 c88ddac3b66ca0055446712d840680992b74b5ba # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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] Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) + docker pull dgllib/dgl-ci-cpu:ssh_v220818 PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] 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] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:ssh_v220818 . [Pipeline] } PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] [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-4814@3 -v /root/jenkins/workspace/dgl_PR-4814@3:/root/jenkins/workspace/dgl_PR-4814@3:rw,z -v /root/jenkins/workspace/dgl_PR-4814@3@tmp:/root/jenkins/workspace/dgl_PR-4814@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:ssh_v220818 cat 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] $ docker top d578aa764bcd17c41367e260a379aebf20d10ecfa07bc90cadab42598228bbc2 -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) PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] [Pipeline] sh 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 [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7901361e; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Merge succeeded, producing 6122cab7f90fed0974be218294bbdd4f4caa99d8 Checking out Revision 6122cab7f90fed0974be218294bbdd4f4caa99d8 (PR-4814) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 6122cab7f90fed0974be218294bbdd4f4caa99d8 # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] [Pipeline] sh > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 6122cab7f90fed0974be218294bbdd4f4caa99d8 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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 PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 5.8 MB/s eta 0:00:00 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-4814@3/third_party/METIS'... PASSED [ 9%] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/dlpack'... Collecting nvidia-cuda-nvrtc-cu11==11.7.99 Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB) PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/dmlc-core'... ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 92.2 MB/s eta 0:00:00 Collecting nvidia-cuda-runtime-cu11==11.7.99 Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 90.3 MB/s eta 0:00:00 Requirement already satisfied: wheel in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->ogb) (0.37.1) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) 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) 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 [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/googletest'... Installing collected packages: pytz, littleutils, threadpoolctl, pyyaml, pydantic, psutil, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, isodate, scikit-learn, rdflib, pandas, outdated, nvidia-cudnn-cu11, torch, ogb PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/libxsmm'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] 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 [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce 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 [ 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] 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Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/nccl'... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/phmap'... 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PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/tvm'... 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Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/METIS/GKlib'... PASSED [ 31%] 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] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] 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] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] 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-4814@3/third_party/tensorpipe/third_party/googletest'... 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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/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814 collecting ... 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Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/tensorpipe/third_party/libuv'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 36%] 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 [ 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814@3/third_party/tensorpipe/third_party/pybind11'... 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] 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] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] 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 [ 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] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-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-4814@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 38%] 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] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-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-4814@3/third_party/thrust/dependencies/cub'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] collected 2472 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int32] SKIPPED [ 0%] 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[ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] 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 [ 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 [ 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] 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-4814@3/third_party/tvm/3rdparty/dlpack'... 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It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv 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 [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814@3 collecting ... 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[ 5%] tests/compute/test_data.py::test_flickr run graph store with port 5185 collected 195 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 [10:23:33] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199891 edges into 4 parts and get 56419 edge cuts Metis partitioning: 0.053 seconds, peak memory: 0.633 GB Assigning nodes to METIS partitions takes 0.061s, peak mem: 0.633 GB Save partitions: 0.005 seconds, peak memory: 0.633 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset load dist_graph_test_2 start client 1 [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] start server 0 start graph service on server 0 for part 0 [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24360]... PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] start client 2 [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] 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] start client 3 [10:23:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] [10:23:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 81%] 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 [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] 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 [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] SKIPPED [ 11%] 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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) [ 12%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] PASSED [ 12%] 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int64] PASSED [ 13%] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int32] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int64] PASSED [ 14%] 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] 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%]PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 15%] 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] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 16%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 16%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 16%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] 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 [ 16%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 16%] 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 [ 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 17%] 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] 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] Client [1111] waits on 172.17.0.3:57955 Client [1105] waits on 172.17.0.3:52321 Client [1121] waits on 172.17.0.3:36915 Client [1116] waits on 172.17.0.3:43967 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 (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... Client[3] in group[0] is exiting... 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 [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 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 [ 19%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 19%] tests/compute/test_sampler.py::test_create_full PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 0.633 GB Save partitions: 0.005 seconds, peak memory: 0.633 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 19%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 19%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 19%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 19%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] [10:23:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load dist_graph_test_1 PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] start server 0 start graph service on server 0 for part 0 [10:23:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:23:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:20705]... PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 94%] 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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_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] ============================== warnings summary =============================== 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: 10 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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@2\python\dgl\data\citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset c:\program files\python36\lib\site-packages\numpy\lib\arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset C:\Jenkins\workspace\dgl_PR-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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: 10 warnings tests/compute/test_transform.py: 1 warning C:\Jenkins\workspace\dgl_PR-4814@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-4814@2\python\dgl\data\graph_serialize.py:196: 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-4814@2\python\dgl\transforms\functional.py:1269: 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-4814@2\python\dgl\transforms\functional.py:1272: 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-4814@2\python\dgl\transforms\functional.py:1321: 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-4814@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-4814@2\pytest_compute.xml -- ============================ slowest 100 durations ============================ 144.79s call tests/compute/test_data.py::test_reddit 63.41s call tests/compute/test_data.py::test_fakenews 62.31s call tests/compute/test_data.py::test_as_graphpred_ogb 61.95s call tests/compute/test_data.py::test_gin 42.52s call tests/compute/test_data.py::test_as_graphpred 25.17s call tests/compute/test_data.py::test_tudataset_regression 19.93s call tests/compute/test_data.py::test_as_graphpred_reprocess 19.46s call tests/compute/test_data.py::test_gnn_benchmark 18.30s call tests/compute/test_kernel.py::test_all_binary_builtins 14.96s call tests/compute/test_data.py::test_as_linkpred_ogb 13.41s call tests/compute/test_sampler.py::test_negative_sampler 8.94s call tests/compute/test_data.py::test_as_nodepred_ogb 8.69s call tests/compute/test_data.py::test_citation_graph 5.45s call tests/compute/test_data.py::test_fraud 5.00s call tests/compute/test_data.py::test_wiki_cs 4.35s call tests/compute/test_data.py::test_add_nodepred_split 4.19s call tests/compute/test_data.py::test_flickr 2.95s call tests/compute/test_data.py::test_explain_syn 2.54s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] 2.00s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] 1.62s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.49s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 1.47s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.45s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.40s call tests/compute/test_heterograph.py::test_forking_pickler 1.15s call tests/compute/test_transform.py::test_reorder_nodes 1.08s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.03s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 1.00s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.94s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] 0.93s call tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 0.86s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] 0.86s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.83s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.75s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] 0.73s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.70s call tests/compute/test_data.py::test_csvdataset 0.65s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] 0.63s call tests/compute/test_graph.py::test_query 0.58s call tests/compute/test_kernel.py::test_copy_src_reduce 0.57s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.57s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.57s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.53s call tests/compute/test_data.py::test_as_nodepred2 0.52s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 0.50s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] 0.43s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] 0.38s call tests/compute/test_heterograph.py::test_query[idtype0] 0.36s call tests/compute/test_heterograph.py::test_query[idtype1] 0.36s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] 0.32s call tests/compute/test_data.py::test_as_nodepred1 0.31s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.30s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] 0.26s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] 0.24s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.24s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.24s call tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] 0.24s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] 0.23s call tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] 0.22s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.22s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.21s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] 0.21s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] 0.21s call tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] 0.20s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] 0.20s call tests/compute/test_sparse.py::test_use_libxsmm_switch 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.19s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] 0.19s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] 0.18s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] 0.18s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.18s call tests/compute/test_data.py::test_as_linkpred 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.17s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] 0.17s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.17s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.16s call tests/compute/test_sampling.py::test_sample_neighbors_mask 0.16s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] 0.16s call tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] 0.16s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.15s call tests/compute/test_sort.py::test_sort_with_tag[idtype1] 0.15s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.15s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.15s call tests/compute/test_sort.py::test_sort_with_tag[idtype0] 0.15s call tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] 0.15s call tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] 0.14s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.14s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] 0.14s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] 0.14s call tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] 0.13s call tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] ========= 2401 passed, 76 skipped, 351 warnings in 624.26s (0:10:24) ========== [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-4814@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 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing a170f405e0975c06360c7afcd437555ad271446e Checking out Revision a170f405e0975c06360c7afcd437555ad271446e (PR-4814) > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a170f405e0975c06360c7afcd437555ad271446e # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 a170f405e0975c06360c7afcd437555ad271446e # timeout=10 Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace [Pipeline] bat > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814@2>git submodule update --recursive --init PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4814@2>CALL tests\scripts\task_example_test.bat cpu C:\Jenkins\workspace\dgl_PR-4814@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([0.0078, 0.0105, 0.0124, 0.0091, 0.0128, 0.0152, 0.0107, 0.0078, 0.0082, 0.0121, 0.0094, 0.0159, 0.0156, 0.0140, 0.0072, 0.0074, 0.0046, 0.0049, 0.0105, 0.0106, 0.0078, 0.0063, 0.0110, 0.0113, 0.0162, 0.0126, 0.0063, 0.0089, 0.0046, 0.0094, 0.0093, 0.0110, 0.0112, 0.0143, 0.0129, 0.0096, 0.0157, 0.0033, 0.0110, 0.0074, 0.0080, 0.0063, 0.0075, 0.0064, 0.0127, 0.0155, 0.0091, 0.0063, 0.0184, 0.0128, 0.0047, 0.0095, 0.0074, 0.0140, 0.0122, 0.0104, 0.0037, 0.0067, 0.0015, 0.0090, 0.0076, 0.0082, 0.0063, 0.0063, 0.0151, 0.0184, 0.0076, 0.0128, 0.0104, 0.0153, 0.0094, 0.0059, 0.0063, 0.0046, 0.0135, 0.0064, 0.0189, 0.0079, 0.0109, 0.0090, 0.0091, 0.0122, 0.0060, 0.0077, 0.0104, 0.0097, 0.0094, 0.0140, 0.0076, 0.0154, 0.0065, 0.0060, 0.0100, 0.0093, 0.0113, 0.0074, 0.0123, 0.0110, 0.0118, 0.0143]) 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 [ 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 Converting to homogeneous graph takes 0.009s, peak mem: 1.371 GB Save partitions: 0.023 seconds, peak memory: 1.371 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [10:24:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load dist_graph_test_3 start server 0 start graph service on server 0 for part 0 [10:24:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:11195]... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) 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tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] PASSED [ 33%]Client [1186] waits on 172.17.0.3:39775 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... 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PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-g1] 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] 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp1-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] 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-g0] PASSED [ 43%] 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PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g1] PASSED [ 44%] 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PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g0] PASSED [ 45%] 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PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp1-g1] PASSED [ 46%] 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PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp4-g0] PASSED [ 47%] 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PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g1] PASSED [ 48%] 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PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g1] PASSED [ 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp4-g0] PASSED [ 50%] 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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%] 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] 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g1] PASSED [ 51%] 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PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g1] PASSED [ 55%] 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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 [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp4-g0] PASSED [ 56%] 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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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g1] PASSED [ 57%] 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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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp4-g0] PASSED [ 58%] 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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 [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g0] PASSED [ 58%] 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%] 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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 [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g1] PASSED [ 63%] 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PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 66%] 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%] 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PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] 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PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g0] PASSED [ 69%] 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%] 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PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g0] PASSED [ 71%] 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PASSED [ 72%] 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%] 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PASSED [ 73%] 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%] 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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%] 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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 [ 76%] 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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 [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g0] PASSED [ 77%] 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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 [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] PASSED [ 78%] 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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 [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g0] PASSED [ 79%] 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PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g1] PASSED [ 80%] 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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 [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 81%] 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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 [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g1] PASSED [ 82%] 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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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 83%] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g1] PASSED [ 85%] 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tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g1] PASSED [ 87%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] PASSED [ 88%] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g0] PASSED [ 89%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g1] PASSED [ 90%] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-src-g0] PASSED [ 91%] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-int32] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-int64] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-int32] SKIPPED [ 92%] 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[ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Only ...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] PASSED [ 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 [ 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 [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 95%] 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 Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4814@2\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4814@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 1.9458 | Accuracy 0.2140 Epoch 00001 | Loss 1.9386 | Accuracy 0.2240 Epoch 00002 | Loss 1.9317 | Accuracy 0.2740 Epoch 00003 | Loss 1.9215 | Accuracy 0.3780 Epoch 00004 | Loss 1.9134 | Accuracy 0.4860 Epoch 00005 | Loss 1.9020 | Accuracy 0.5320 Epoch 00006 | Loss 1.8934 | Accuracy 0.5620 Epoch 00007 | Loss 1.8826 | Accuracy 0.5820 Epoch 00008 | Loss 1.8673 | Accuracy 0.5720 Epoch 00009 | Loss 1.8620 | Accuracy 0.5660 Epoch 00010 | Loss 1.8479 | Accuracy 0.5640 Epoch 00011 | Loss 1.8313 | Accuracy 0.5680 Epoch 00012 | Loss 1.8149 | Accuracy 0.5940 Epoch 00013 | Loss 1.8112 | Accuracy 0.6120 Epoch 00014 | Loss 1.7838 | Accuracy 0.6140 Epoch 00015 | Loss 1.7764 | Accuracy 0.6300 Epoch 00016 | Loss 1.7623 | Accuracy 0.6540 Epoch 00017 | Loss 1.7509 | Accuracy 0.6680 Epoch 00018 | Loss 1.7246 | Accuracy 0.6740 Epoch 00019 | Loss 1.7117 | Accuracy 0.7020 Epoch 00020 | Loss 1.6870 | Accuracy 0.7060 Epoch 00021 | Loss 1.6789 | Accuracy 0.7140 Epoch 00022 | Loss 1.6572 | Accuracy 0.7180 Epoch 00023 | Loss 1.6325 | Accuracy 0.7240 Epoch 00024 | Loss 1.6323 | Accuracy 0.7340 Epoch 00025 | Loss 1.6007 | Accuracy 0.7420 Epoch 00026 | Loss 1.5856 | Accuracy 0.7440 Epoch 00027 | Loss 1.5612 | Accuracy 0.7460 Epoch 00028 | Loss 1.5416 | Accuracy 0.7440 Epoch 00029 | Loss 1.4987 | Accuracy 0.7400 Epoch 00030 | Loss 1.4901 | Accuracy 0.7360 Epoch 00031 | Loss 1.4573 | Accuracy 0.7420 Epoch 00032 | Loss 1.4384 | Accuracy 0.7440 Epoch 00033 | Loss 1.4247 | Accuracy 0.7500 Epoch 00034 | Loss 1.4200 | Accuracy 0.7560 Epoch 00035 | Loss 1.3880 | Accuracy 0.7620 Epoch 00036 | Loss 1.3583 | Accuracy 0.7640 Epoch 00037 | Loss 1.3154 | Accuracy 0.7720 Epoch 00038 | Loss 1.3025 | Accuracy 0.7740 Epoch 00039 | Loss 1.3079 | Accuracy 0.7740 Epoch 00040 | Loss 1.2697 | Accuracy 0.7740 Epoch 00041 | Loss 1.2908 | Accuracy 0.7780 Epoch 00042 | Loss 1.2503 | Accuracy 0.7800 Epoch 00043 | Loss 1.1901 | Accuracy 0.7800 Epoch 00044 | Loss 1.2130 | Accuracy 0.7780 Epoch 00045 | Loss 1.1481 | Accuracy 0.7800 Epoch 00046 | Loss 1.1129 | Accuracy 0.7840 Epoch 00047 | Loss 1.1566 | Accuracy 0.7840 Epoch 00048 | Loss 1.1083 | Accuracy 0.7840 Epoch 00049 | Loss 1.0533 | Accuracy 0.7860 Epoch 00050 | Loss 1.0303 | Accuracy 0.7820 Epoch 00051 | Loss 1.0446 | Accuracy 0.7800 Epoch 00052 | Loss 1.0286 | Accuracy 0.7840 Epoch 00053 | Loss 1.0183 | Accuracy 0.7880 Epoch 00054 | Loss 0.9791 | Accuracy 0.7920 Epoch 00055 | Loss 0.9323 | Accuracy 0.7900 Epoch 00056 | Loss 0.9419 | Accuracy 0.7920 Epoch 00057 | Loss 0.9574 | Accuracy 0.7920 Epoch 00058 | Loss 0.9088 | Accuracy 0.7900 Epoch 00059 | Loss 0.9043 | Accuracy 0.7860 Epoch 00060 | Loss 0.8316 | Accuracy 0.7860 Epoch 00061 | Loss 0.8547 | Accuracy 0.7880 Epoch 00062 | Loss 0.8139 | Accuracy 0.7860 Epoch 00063 | Loss 0.8356 | Accuracy 0.7860 Epoch 00064 | Loss 0.8040 | Accuracy 0.7920 Epoch 00065 | Loss 0.7625 | Accuracy 0.7920 Epoch 00066 | Loss 0.7685 | Accuracy 0.7900 Epoch 00067 | Loss 0.7668 | Accuracy 0.7900 Epoch 00068 | Loss 0.7576 | Accuracy 0.7900 Epoch 00069 | Loss 0.7457 | Accuracy 0.7900 Epoch 00070 | Loss 0.7515 | Accuracy 0.7880 Epoch 00071 | Loss 0.6867 | Accuracy 0.7900 Epoch 00072 | Loss 0.7028 | Accuracy 0.7960 Epoch 00073 | Loss 0.6502 | Accuracy 0.7960 Epoch 00074 | Loss 0.6955 | Accuracy 0.7920 Epoch 00075 | Loss 0.6674 | Accuracy 0.7880 Epoch 00076 | Loss 0.6644 | Accuracy 0.7920 Epoch 00077 | Loss 0.6602 | Accuracy 0.7920 Epoch 00078 | Loss 0.6099 | Accuracy 0.7900 Epoch 00079 | Loss 0.6328 | Accuracy 0.7900 Epoch 00080 | Loss 0.6528 | Accuracy 0.7900 Epoch 00081 | Loss 0.6054 | Accuracy 0.7880 Epoch 00082 | Loss 0.6532 | Accuracy 0.7900 Epoch 00083 | Loss 0.6249 | Accuracy 0.7900 Epoch 00084 | Loss 0.6155 | Accuracy 0.7940 Epoch 00085 | Loss 0.6137 | Accuracy 0.7920 Epoch 00086 | Loss 0.5997 | Accuracy 0.7920 Epoch 00087 | Loss 0.6243 | Accuracy 0.7940 Epoch 00088 | Loss 0.5613 | Accuracy 0.7960 Epoch 00089 | Loss 0.5613 | Accuracy 0.7900 Epoch 00090 | Loss 0.5719 | Accuracy 0.7880 Epoch 00091 | Loss 0.5559 | Accuracy 0.7860 Epoch 00092 | Loss 0.5781 | Accuracy 0.7840 Epoch 00093 | Loss 0.5267 | Accuracy 0.7880 Epoch 00094 | Loss 0.5497 | Accuracy 0.7860 Epoch 00095 | Loss 0.5287 | Accuracy 0.7880 Epoch 00096 | Loss 0.5362 | Accuracy 0.7880 Epoch 00097 | Loss 0.5325 | Accuracy 0.7880 Epoch 00098 | Loss 0.5121 | Accuracy 0.7880 Epoch 00099 | Loss 0.4996 | Accuracy 0.7920 Epoch 00100 | Loss 0.5291 | Accuracy 0.7940 Epoch 00101 | Loss 0.4932 | Accuracy 0.7960 Epoch 00102 | Loss 0.4963 | Accuracy 0.7960 Epoch 00103 | Loss 0.4981 | Accuracy 0.7960 Epoch 00104 | Loss 0.5084 | Accuracy 0.7960 Epoch 00105 | Loss 0.4882 | Accuracy 0.7980 Epoch 00106 | Loss 0.4612 | Accuracy 0.7980 Epoch 00107 | Loss 0.4388 | Accuracy 0.8000 Epoch 00108 | Loss 0.5087 | Accuracy 0.8000 Epoch 00109 | Loss 0.4914 | Accuracy 0.8000 Epoch 00110 | Loss 0.4551 | Accuracy 0.7940 Epoch 00111 | Loss 0.4533 | Accuracy 0.7960 Epoch 00112 | Loss 0.4463 | Accuracy 0.7920 Epoch 00113 | Loss 0.4355 | Accuracy 0.7920 Epoch 00114 | Loss 0.4739 | Accuracy 0.7880 Epoch 00115 | Loss 0.4891 | Accuracy 0.7880 Epoch 00116 | Loss 0.4567 | Accuracy 0.7880 Epoch 00117 | Loss 0.4620 | Accuracy 0.7940 Epoch 00118 | Loss 0.4129 | Accuracy 0.7960 Epoch 00119 | Loss 0.4397 | Accuracy 0.7960 Epoch 00120 | Loss 0.4470 | Accuracy 0.7940 Epoch 00121 | Loss 0.4612 | Accuracy 0.7940 Epoch 00122 | Loss 0.4173 | Accuracy 0.7940 Epoch 00123 | Loss 0.4375 | Accuracy 0.7960 Epoch 00124 | Loss 0.4310 | Accuracy 0.7900 Epoch 00125 | Loss 0.4428 | Accuracy 0.7960 Epoch 00126 | Loss 0.4222 | Accuracy 0.7920 Epoch 00127 | Loss 0.4265 | Accuracy 0.7920 Epoch 00128 | Loss 0.3908 | Accuracy 0.7920 Epoch 00129 | Loss 0.4155 | Accuracy 0.7920 Epoch 00130 | Loss 0.4332 | Accuracy 0.7900 Epoch 00131 | Loss 0.3615 | Accuracy 0.7880 Epoch 00132 | Loss 0.3813 | Accuracy 0.7860 Epoch 00133 | Loss 0.3826 | Accuracy 0.7900 Epoch 00134 | Loss 0.3863 | Accuracy 0.7960 Epoch 00135 | Loss 0.3694 | Accuracy 0.7920 Epoch 00136 | Loss 0.4237 | Accuracy 0.7940 Epoch 00137 | Loss 0.4087 | Accuracy 0.7980 Epoch 00138 | Loss 0.3785 | Accuracy 0.8000 Epoch 00139 | Loss 0.3755 | Accuracy 0.7980 Epoch 00140 | Loss 0.3691 | Accuracy 0.7920 Epoch 00141 | Loss 0.3913 | Accuracy 0.7920 Epoch 00142 | Loss 0.3685 | Accuracy 0.7920 Epoch 00143 | Loss 0.3390 | Accuracy 0.7900 Epoch 00144 | Loss 0.4122 | Accuracy 0.7900 Epoch 00145 | Loss 0.3552 | Accuracy 0.7880 Epoch 00146 | Loss 0.3775 | Accuracy 0.7900 Epoch 00147 | Loss 0.3426 | Accuracy 0.7920 Epoch 00148 | Loss 0.3851 | Accuracy 0.7960 Epoch 00149 | Loss 0.3128 | Accuracy 0.7980 Epoch 00150 | Loss 0.3560 | Accuracy 0.7980 Epoch 00151 | Loss 0.3668 | Accuracy 0.7980 Epoch 00152 | Loss 0.3561 | Accuracy 0.7960 Epoch 00153 | Loss 0.3733 | Accuracy 0.7920 Epoch 00154 | Loss 0.3529 | Accuracy 0.7880 Epoch 00155 | Loss 0.3446 | Accuracy 0.7900 Epoch 00156 | Loss 0.3637 | Accuracy 0.7880 Epoch 00157 | Loss 0.3322 | Accuracy 0.7880 Epoch 00158 | Loss 0.3676 | Accuracy 0.7880 Epoch 00159 | Loss 0.3523 | Accuracy 0.7880 Epoch 00160 | Loss 0.3255 | Accuracy 0.7880 Epoch 00161 | Loss 0.3917 | Accuracy 0.7880 Epoch 00162 | Loss 0.3216 | Accuracy 0.7920 Epoch 00163 | Loss 0.3299 | Accuracy 0.7940 Epoch 00164 | Loss 0.3586 | Accuracy 0.7940 Epoch 00165 | Loss 0.3226 | Accuracy 0.7960 Epoch 00166 | Loss 0.3427 | Accuracy 0.7980 Epoch 00167 | Loss 0.3070 | Accuracy 0.7960 Epoch 00168 | Loss 0.3426 | Accuracy 0.7960 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 [ 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] 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 0.3432 | Accuracy 0.7920 Epoch 00170 | Loss 0.3443 | Accuracy 0.7920 Epoch 00171 | Loss 0.3380 | Accuracy 0.7920 Epoch 00172 | Loss 0.3395 | Accuracy 0.7900 Epoch 00173 | Loss 0.3141 | Accuracy 0.7860 Epoch 00174 | Loss 0.3097 | Accuracy 0.7860 Epoch 00175 | Loss 0.3113 | Accuracy 0.7860 Epoch 00176 | Loss 0.3302 | Accuracy 0.7880 Epoch 00177 | Loss 0.3129 | Accuracy 0.7880 Epoch 00178 | Loss 0.2846 | Accuracy 0.7880 Epoch 00179 | Loss 0.3350 | Accuracy 0.7900 Epoch 00180 | Loss 0.3209 | Accuracy 0.7920 Epoch 00181 | Loss 0.3268 | Accuracy 0.7900 Epoch 00182 | Loss 0.3381 | Accuracy 0.7880 Epoch 00183 | Loss 0.3318 | Accuracy 0.7880 Epoch 00184 | Loss 0.3106 | Accuracy 0.7900 Epoch 00185 | Loss 0.2839 | Accuracy 0.7880 Epoch 00186 | Loss 0.3282 | Accuracy 0.7860 Epoch 00187 | Loss 0.2981 | Accuracy 0.7900 Epoch 00188 | Loss 0.3039 | Accuracy 0.7900 Epoch 00189 | Loss 0.3202 | Accuracy 0.7900 Epoch 00190 | Loss 0.3090 | Accuracy 0.7860 Epoch 00191 | Loss 0.2956 | Accuracy 0.7860 Epoch 00192 | Loss 0.3362 | Accuracy 0.7880 Epoch 00193 | Loss 0.3186 | Accuracy 0.7920 Epoch 00194 | Loss 0.3106 | Accuracy 0.7920 Epoch 00195 | Loss 0.3059 | Accuracy 0.7920 Epoch 00196 | Loss 0.2960 | Accuracy 0.7960 Epoch 00197 | Loss 0.3134 | Accuracy 0.7920 Epoch 00198 | Loss 0.3212 | Accuracy 0.7920 Epoch 00199 | Loss 0.3064 | Accuracy 0.7960 Testing... Test accuracy 0.8010 PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] [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_add_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[int32] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_ppr[int64] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[int32] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 98%] 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_transform.py::test_shortest_dist[int32] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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: 2743 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: 1854 warnings tests/compute/test_traversal.py: 788 warnings /root/jenkins/workspace/dgl_PR-4814/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: 918 warnings tests/compute/test_traversal.py: 1555 warnings /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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: 60 warnings /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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_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-4814/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-4814/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-4814/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-4814/python/dgl/data/graph_serialize.py:196: 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-4814/python/dgl/transforms/functional.py:1269: 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-4814/python/dgl/transforms/functional.py:1272: 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-4814/pytest_compute.xml -- ============================ slowest 100 durations ============================= 20.08s call tests/compute/test_sampler.py::test_negative_sampler 8.94s call tests/compute/test_kernel.py::test_all_binary_builtins 1.26s call tests/compute/test_graph.py::test_query 0.96s 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] 0.63s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.61s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.55s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.38s call tests/compute/test_heterograph.py::test_view1[int64] 0.35s 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_heterograph.py::test_view1[int32] 0.31s call tests/compute/test_traversal.py::test_bfs[int32] 0.29s call tests/compute/test_traversal.py::test_bfs[int64] 0.28s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.25s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.23s call tests/compute/test_kernel.py::test_copy_src_reduce 0.22s call tests/compute/test_transform.py::test_add_selfloop[int64] 0.18s call tests/compute/test_heterograph.py::test_updates[int32] 0.17s call tests/compute/test_heterograph.py::test_updates[int64] 0.17s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 0.16s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 0.15s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.13s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.12s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.12s call tests/compute/test_transform.py::test_remove_nodes[int32] 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_transform.py::test_remove_nodes[int64] 0.11s call tests/compute/test_shared_mem.py::test_multi_process[int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int64] 0.11s call tests/compute/test_heterograph.py::test_level2[int32] 0.11s call tests/compute/test_heterograph.py::test_level2[int64] 0.10s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.10s call tests/compute/test_transform.py::test_remove_edges[int32] 0.10s call tests/compute/test_transform.py::test_remove_edges[int64] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int32] 0.10s call tests/compute/test_shared_mem.py::test_multi_process[int64] 0.10s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.09s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 0.08s 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] 0.08s call tests/compute/test_heterograph.py::test_convert[int32] 0.07s call tests/compute/test_heterograph.py::test_convert[int64] 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_transform.py::test_add_edges[int64] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int64] 0.06s call tests/compute/test_heterograph.py::test_float_cast 0.06s call tests/compute/test_transform.py::test_add_edges[int32] 0.06s call tests/compute/test_sampler.py::test_layer_sampler 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_specialization.py::test_spmv_3d_feat[int64] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int32] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int64] 0.05s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_transform.py::test_to_block[int32] 0.05s call tests/compute/test_removal.py::test_edge_removal[int32] 0.05s call tests/compute/test_transform.py::test_to_block[int64] 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int32] 0.04s call tests/compute/test_removal.py::test_edge_removal[int64] 0.04s call tests/compute/test_heterograph.py::test_types_in_function[int32] 0.04s call tests/compute/test_heterograph.py::test_types_in_function[int64] 0.04s call tests/compute/test_transform.py::test_add_selfloop[int32] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] 0.04s call tests/compute/test_transform.py::test_no_backtracking 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int32] 0.04s call tests/compute/test_transform.py::test_add_reverse_edges 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.04s call tests/compute/test_heterograph.py::test_create[int32] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] 0.04s call tests/compute/test_heterograph.py::test_create[int64] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int32] 0.04s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 0.04s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] 0.03s call tests/compute/test_batched_graph.py::test_batch_propagate[int32] 0.03s call tests/compute/test_batched_graph.py::test_batch_propagate[int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int64] 0.03s call tests/compute/test_heterograph.py::test_subgraph[int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] 0.03s call tests/compute/test_transform.py::test_reorder_graph[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 0.03s call tests/compute/test_readout.py::test_reduce_readout[mean-g6-int32] 0.03s call tests/compute/test_readout.py::test_reduce_readout[max-g6-int64] 0.03s call tests/compute/test_readout.py::test_reduce_readout[mean-g6-int64] 0.03s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] 0.03s call tests/compute/test_basics.py::test_update_routines[int32] ========= 2231 passed, 241 skipped, 48283 warnings in 74.58s (0:01:14) ========= 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 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4814 collecting ... Converting to homogeneous graph takes 0.009s, peak mem: 1.376 GB Save partitions: 0.025 seconds, peak memory: 1.376 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 load dist_graph_test_3 [10:24:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [10:24:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:20891]... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] Client [1210] waits on 172.17.0.3:52761 Machine (0) group (0) client (0) connect to server successfuly! 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: 1.376 GB Save partitions: 0.007 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] load check_server_client_True_1_1_1 start server 0 start graph service on server 0 for part 0 [10:24:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12816]... [10:24:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 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%]PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb 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%]Client [1224] waits on 172.17.0.3:47123 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... 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] clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.376 GB Save partitions: 0.007 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] 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%] 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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] [10:24:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_server_client_False_1_1_1 start server 0 start graph service on server 0 for part 0 [10:24:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:12825]... 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 =============================== ../../../../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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.35s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.33s call tests/mxnet/test_geometry.py::test_fps 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[min-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[max-int64] 0.04s call tests/mxnet/test_nn.py::test_hetero_conv[stack-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_gg_conv 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.02s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.02s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.02s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.02s call tests/mxnet/test_nn.py::test_rgcn[8] 0.02s call tests/mxnet/test_nn.py::test_rgcn[2] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.02s call tests/mxnet/test_nn.py::test_simple_pool 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[5-1-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-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-g2-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[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[1-20-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-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[5-1-g1-int64] 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-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-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[1-20-g2-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-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-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[1-1-g0-int32] 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[1-1-g3-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[5-1-g0-int64] 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[5-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 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[1-1-g1-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[1-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-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-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_rgcn[1] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 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[5-1-g0-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[1-1-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-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[1-20-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sequential 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_tagconv[2] 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_gat_conv_bi[1-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] ===================== 806 passed, 1388 warnings in 12.52s ====================== 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: [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 fd6b60761991a469eb3a0a04e57db25bcdae645a0e4f71eb302fe5c0c0799d07 $ docker rm -f fd6b60761991a469eb3a0a04e57db25bcdae645a0e4f71eb302fe5c0c0799d07 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Client [1238] waits on 172.17.0.3:53493 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 0%] tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client Converting to homogeneous graph takes 0.003s, peak mem: 1.376 GB Save partitions: 0.006 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [10:24:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_dist_emb_True_1_1_1 start server 0 start graph service on server 0 for part 0 [10:24:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19344]... Client [1252] waits on 172.17.0.3:32857 Machine (0) group (0) client (0) connect to server successfuly! 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: 1.376 GB Save partitions: 0.007 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] load check_dist_emb_False_1_1_1 [10:24:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [10:24:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:24:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15677]... Client [1269] waits on 172.17.0.3:42179 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 1%] tests/distributed/test_dist_graph_store.py::test_dist_optim_server_client Converting to homogeneous graph takes 0.003s, peak mem: 1.376 GB Save partitions: 0.006 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] load check_dist_optim_1_store start server 0 start graph service on server 0 for part 0 [10:25:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17476]... [10:25:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[1] for group[0] 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 [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] 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 [ 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 [ 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] [10:25:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[2] for group[0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] [10:25:03] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:03] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[3] for group[0] 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 [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] [10:25:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] 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 [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler Client [1296] waits on 172.17.0.3:40425Client [1286] waits on 172.17.0.3:39821 Client [1292] waits on 172.17.0.3:38705Client [1302] waits on 172.17.0.3:37833 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!Machine (0) group (0) client (1) connect to server successfuly! Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce Server (0) shutdown. Server is exiting... start client[0] for group[0] load check_dist_optim_1_store [10:25:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [10:25:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17476]... start client[1] for group[0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins [10:25:11] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:11] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[2] for group[0] [10:25:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[3] for group[0] [10:25:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[4] for group[0] [10:25:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[5] for group[0] [10:25:15] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:15] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[6] for group[0] [10:25:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[7] for group[0] [10:25:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Client [1355] waits on 172.17.0.3:51069Client [1340] waits on 172.17.0.3:37429 Client [1360] waits on 172.17.0.3:49141 Client [1374] waits on 172.17.0.3:45089 Client [1364] waits on 172.17.0.3:34223 Client [1345] waits on 172.17.0.3:38313 Client [1349] waits on 172.17.0.3:39111 Client [1370] waits on 172.17.0.3:43785 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 (6) 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 (7) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4814@3/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_5 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4814@3/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_4 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4814@3/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_6 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4814@3/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_7 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") Client[0] in group[0] is exiting... Client[3] in group[0] is exiting...Client[7] in group[0] is exiting... Client[6] in group[0] is exiting... Client[5] in group[0] is exiting... Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... Server (0) shutdown. Server is exiting... start client[0] for group[0] [10:25:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_dist_optim_1_store start server 0 start graph service on server 0 for part 0 [10:25:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17476]... start client[1] for group[0] [10:25:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Client [1440] waits on 172.17.0.3:60545 Client [1445] waits on 172.17.0.3:43395 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Client[1] in group[0] is exiting...Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 1%] tests/distributed/test_dist_graph_store.py::test_standalone Converting to homogeneous graph takes 0.003s, peak mem: 1.376 GB Save partitions: 0.007 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. end Client[-1] in group[-1] is exiting... PASSED [ 2%] tests/distributed/test_dist_graph_store.py::test_standalone_node_emb Converting to homogeneous graph takes 0.002s, peak mem: 1.376 GB Save partitions: 0.006 seconds, peak memory: 1.376 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 2%] tests/distributed/test_dist_graph_store.py::test_split[True] Converting to homogeneous graph takes 0.010s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.443 GB [10:25:46] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 171777 edge cuts Metis partitioning: 0.224 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.243s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.025 seconds Split the graph: 0.084 seconds Construct subgraphs: 0.083 seconds Splitting the graph into partitions takes 0.192s, peak mem: 1.443 GB part 0 has 10000 nodes of type n1 and 2575 are inside the partition part 0 has 9890 nodes of type n2 and 2577 are inside the partition part 0 has 9887 nodes of type n3 and 2580 are inside the partition part 0 has 92291 edges of type ('n1', 'r1', 'n2') and 25579 are inside the partition part 0 has 40828 edges of type ('n1', 'r2', 'n3') and 25963 are inside the partition part 0 has 40453 edges of type ('n2', 'r3', 'n3') and 25606 are inside the partition part 1 has 10000 nodes of type n1 and 2276 are inside the partition part 1 has 9798 nodes of type n2 and 2279 are inside the partition part 1 has 9802 nodes of type n3 and 2281 are inside the partition part 1 has 89744 edges of type ('n1', 'r1', 'n2') and 22638 are inside the partition part 1 has 35640 edges of type ('n1', 'r2', 'n3') and 22532 are inside the partition part 1 has 36014 edges of type ('n2', 'r3', 'n3') and 22996 are inside the partition part 2 has 10000 nodes of type n1 and 2574 are inside the partition part 2 has 9891 nodes of type n2 and 2577 are inside the partition part 2 has 9915 nodes of type n3 and 2579 are inside the partition part 2 has 91943 edges of type ('n1', 'r1', 'n2') and 25985 are inside the partition part 2 has 40670 edges of type ('n1', 'r2', 'n3') and 25885 are inside the partition part 2 has 40371 edges of type ('n2', 'r3', 'n3') and 25663 are inside the partition part 3 has 10000 nodes of type n1 and 2575 are inside the partition part 3 has 9878 nodes of type n2 and 2577 are inside the partition part 3 has 9898 nodes of type n3 and 2580 are inside the partition part 3 has 92271 edges of type ('n1', 'r1', 'n2') and 25898 are inside the partition part 3 has 40625 edges of type ('n1', 'r2', 'n3') and 25820 are inside the partition part 3 has 40744 edges of type ('n2', 'r3', 'n3') and 26035 are inside the partition Save partitions: 0.043 seconds, peak memory: 1.443 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 3%] tests/distributed/test_dist_graph_store.py::test_split[False] Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:25:47] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199897 edges into 4 parts and get 56408 edge cuts Metis partitioning: 0.049 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.054s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.030 seconds Construct subgraphs: 0.036 seconds Splitting the graph into partitions takes 0.072s, peak mem: 1.443 GB part 0 has 9999 nodes and 2499 are inside the partition part 0 has 91602 edges and 25019 are inside the partition part 1 has 10000 nodes and 2501 are inside the partition part 1 has 91268 edges and 24879 are inside the partition part 2 has 10000 nodes and 2499 are inside the partition part 2 has 91591 edges and 24936 are inside the partition part 3 has 9999 nodes and 2501 are inside the partition part 3 has 91292 edges and 25166 are inside the partition Save partitions: 0.024 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 3%] tests/distributed/test_dist_graph_store.py::test_split_even Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:25:48] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199898 edges into 4 parts and get 56408 edge cuts Metis partitioning: 0.057 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.063s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.007 seconds Split the graph: 0.036 seconds Construct subgraphs: 0.040 seconds Splitting the graph into partitions takes 0.084s, peak mem: 1.443 GB part 0 has 10000 nodes and 2501 are inside the partition part 0 has 91069 edges and 24963 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91069 edges and 25017 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91702 edges and 25111 are inside the partition part 3 has 10000 nodes and 2499 are inside the partition part 3 has 91334 edges and 24909 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1732 nodes and 1732 are in the partition intersection has 1732 part 0 get 17318 edges and 17318 are in the partition intersection has 17318 part 1 get 1732 nodes and 1692 are in the partition intersection has 1732 part 1 get 17318 edges and 17293 are in the partition intersection has 17318 part 2 get 1732 nodes and 1705 are in the partition intersection has 1732 part 2 get 17318 edges and 17173 are in the partition intersection has 17318 part 3 get 1731 nodes and 1709 are in the partition intersection has 1731 part 3 get 17317 edges and 17165 are in the partition intersection has 17317 PASSED [ 4%] tests/distributed/test_dist_tensor.py::test_op Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 4%]Client[-1] in group[-1] is exiting... tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. load test_find_edges start graph service on server 0 for part 0 [10:25:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22214]... [10:25:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] 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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 12%] 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 14%] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 15%] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 16%] 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 18%] 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 [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampler.py::test_create_full PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 19%] 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 Client [1093] waits on 172.17.0.3:41335 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-4814@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4814@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. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.027 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. load test_find_edges [10:25:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start graph service on server 0 for part 0 [10:25:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:25:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... Client [1093] waits on 172.17.0.3:35197 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 5%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:26:00] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type ('n1', 'r12', 'n2') and 531 are inside the partition part 0 has 571 edges of type ('n1', 'r13', 'n3') and 535 are inside the partition part 0 has 554 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 479 are inside the partition part 1 has 530 edges of type ('n1', 'r13', 'n3') and 495 are inside the partition part 1 has 529 edges of type ('n2', 'r23', 'n3') and 493 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. load test_find_edges start graph service on server 0 for part 0 [10:26:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10819]... load test_find_edges start graph service on server 1 for part 1 [10:26:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10821]... [10:26:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: 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 [ 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge Client [1093] waits on 172.17.0.3:54169 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:26:06] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.032 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] 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] load test_find_edges start graph service on server 0 for part 0 [10:26:07] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:07] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... 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 [ 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] load test_find_edges start graph service on server 1 for part 1 [10:26:08] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:08] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [10:26:08] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:08] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 23%] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 23%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 23%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 23%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 23%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 23%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[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...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] 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 [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 12%] 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 [ 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 [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 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 [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 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] Client [1093] waits on 172.17.0.3:39145 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 5%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.021 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 24%] 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] load test_get_degrees start graph service on server 0 for part 0 [10:26:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14572]... PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 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] [10:26:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] 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 [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%]PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 15%] 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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 16%] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] Client [1093] waits on 172.17.0.3:49103 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 18%] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] 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] Done get_degree Server (0) shutdown. Server is exiting... check results PASSED [ 6%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:26:18] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampler.py::test_create_full PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 19%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] load test_get_degrees start graph service on server 0 for part 0 [10:26:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13358]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] load test_get_degrees start graph service on server 1 for part 1 [10:26:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13360]... PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler [10:26:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-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] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 25%] 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 [ 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 [ 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob 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 [1093] waits on 172.17.0.3:40431 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown.Server (0) shutdown. Server is exiting... Server is exiting... Done get_degree check results PASSED [ 6%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 7%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.018 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge 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] load test_sampling start graph service on server 0 for part 0 [10:26:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:28390]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] [10:26:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 26%] 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] Client [1574] waits on 172.17.0.3:37545 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] load test_sampling start graph service on server 0 for part 0 [10:26:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:16515]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] [10:26:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] Client [1093] waits on 172.17.0.3:35345 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] load test_sampling start graph service on server 0 for part 0 [10:26:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [10:26:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] 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 [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 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 [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] Client [1093] waits on 172.17.0.3:51557 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done samplingServer (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.003s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] load test_sampling start graph service on server 0 for part 0 [10:26:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [10:26:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] Client [1093] waits on 172.17.0.3:35837 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] load test_sampling start graph service on server 0 for part 0 [10:26:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] [10:26:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 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] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] Client [1093] waits on 172.17.0.3:51509 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] load test_sampling start graph service on server 0 for part 0 [10:26:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [10:26:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 22%]PASSED [ 31%] 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] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] Client [1093] waits on 172.17.0.3:52597 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] load test_sampling start graph service on server 0 for part 0 [10:26:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [10:26:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 23%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 23%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 23%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 23%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 23%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 23%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] 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] Client [1093] waits on 172.17.0.3:43765 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 11990 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] load test_sampling start graph service on server 0 for part 0 [10:26:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] [10:26:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:26:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] Client [1093] waits on 172.17.0.3:40343 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done samplingServer (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] load test_sampling start graph service on server 0 for part 0 [10:27:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13648]... [10:27:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] Client [1093] waits on 172.17.0.3:58207 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: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] load test_sampling start graph service on server 0 for part 0 [10:27:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10819]... [10:27:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] Client [1093] waits on 172.17.0.3:46247 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: 1.443 GB Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-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] load test_sampling start graph service on server 0 for part 0 [10:27:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... [10:27:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 36%] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] Client [1093] waits on 172.17.0.3:54981 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 [ 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 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] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] 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] load test_sampling start graph service on server 0 for part 0 [10:27:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:18024]... [10:27:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-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] Client [1093] waits on 172.17.0.3:52597 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 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 7%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] load test_sampling start graph service on server 0 for part 0 [10:27:18] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:18] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17314]... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] load test_sampling start graph service on server 1 for part 1 [10:27:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17316]... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-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] [10:27:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] 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] Client [1700] waits on 172.17.0.3:55807 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.443 GB [10:27:23] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] 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] Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type ('n1', 'r12', 'n2') and 531 are inside the partition part 0 has 571 edges of type ('n1', 'r13', 'n3') and 535 are inside the partition part 0 has 554 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 479 are inside the partition part 1 has 530 edges of type ('n1', 'r13', 'n3') and 495 are inside the partition part 1 has 529 edges of type ('n2', 'r23', 'n3') and 493 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] load test_sampling 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] start graph service on server 0 for part 0 [10:27:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14572]... 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] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] 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[10:27:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14574]... 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[10:27:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] 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 [ 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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] Client [1093] waits on 172.17.0.3:54695 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] 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%] 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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] Server (1) shutdown. Server is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:29] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6000 edges into 2 parts and get 199 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 555 nodes of type n1 and 493 are inside the partition part 0 has 550 nodes of type n2 and 486 are inside the partition part 0 has 556 nodes of type n3 and 496 are inside the partition part 0 has 508 edges of type ('n1', 'r12', 'n2') and 473 are inside the partition part 0 has 517 edges of type ('n1', 'r13', 'n3') and 486 are inside the partition part 0 has 494 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 517 are inside the partition part 1 has 565 edges of type ('n1', 'r13', 'n3') and 524 are inside the partition part 1 has 574 edges of type ('n2', 'r23', 'n3') and 538 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] 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[10:27:30] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10819]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] 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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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%]PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] load test_sampling start graph service on server 1 for part 1 [10:27:31] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:31] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10821]... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] 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 [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] [10:27:31] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:31] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] 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 [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] Client [1093] waits on 172.17.0.3:50993 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:35] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 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 ('n1', 'r12', 'n2') and 2109 are inside the partition part 0 has 3328 edges of type ('n1', 'r13', 'n3') and 2342 are inside the partition part 0 has 3166 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 2091 are inside the partition part 1 has 3191 edges of type ('n1', 'r13', 'n3') and 2278 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2183 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] load test_sampling start graph service on server 0 for part 0 [10:27:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] 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] load test_sampling start graph service on server 1 for part 1 [10:27:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] [10:27:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:37] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] 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 [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] Client [1093] waits on 172.17.0.3:59861 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:40] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 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 ('n1', 'r12', 'n2') and 2109 are inside the partition part 0 has 3328 edges of type ('n1', 'r13', 'n3') and 2342 are inside the partition part 0 has 3166 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 2091 are inside the partition part 1 has 3191 edges of type ('n1', 'r13', 'n3') and 2278 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2183 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] load test_sampling start graph service on server 0 for part 0 [10:27:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] 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] load test_sampling start graph service on server 1 for part 1 [10:27:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [10:27:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 98%] 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_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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: 10 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-4814@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 /root/jenkins/workspace/dgl_PR-4814@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-4814@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-4814@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-4814@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-4814@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_minigc /root/jenkins/workspace/dgl_PR-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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] /root/jenkins/workspace/dgl_PR-4814@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] /root/jenkins/workspace/dgl_PR-4814@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] /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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-4814@2/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py: 10 warnings tests/compute/test_transform.py: 1 warning /root/jenkins/workspace/dgl_PR-4814@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-4814@2/python/dgl/data/graph_serialize.py:196: 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-4814@2/python/dgl/transforms/functional.py:1269: 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-4814@2/python/dgl/transforms/functional.py:1272: 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-4814@2/python/dgl/transforms/functional.py:1321: 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-4814@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 /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-4814@2/pytest_compute.xml - ============================ slowest 100 durations ============================= 76.37s call tests/compute/test_data.py::test_reddit 36.73s call tests/compute/test_kernel.py::test_all_binary_builtins 30.04s call tests/compute/test_data.py::test_fakenews 28.94s call tests/compute/test_data.py::test_as_graphpred 23.88s call tests/compute/test_data.py::test_as_graphpred_ogb 21.34s call tests/compute/test_data.py::test_gin 14.23s call tests/compute/test_sampler.py::test_negative_sampler 11.63s call tests/compute/test_data.py::test_as_linkpred_ogb 10.88s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 9.56s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 8.54s call tests/compute/test_data.py::test_tudataset_regression 8.36s call tests/compute/test_data.py::test_as_graphpred_reprocess 8.03s call tests/compute/test_data.py::test_as_nodepred_ogb 7.61s call tests/compute/test_data.py::test_gnn_benchmark 3.57s call tests/compute/test_data.py::test_citation_graph 3.33s call tests/compute/test_data.py::test_wiki_cs 2.97s call tests/compute/test_data.py::test_add_nodepred_split 2.68s call tests/compute/test_data.py::test_fraud 2.10s call tests/compute/test_graph.py::test_query 2.07s call tests/compute/test_data.py::test_flickr 1.76s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.71s call tests/compute/test_kernel.py::test_copy_edge_reduce 1.36s call tests/compute/test_heterograph.py::test_forking_pickler 1.18s call tests/compute/test_data.py::test_explain_syn 0.73s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.68s call tests/compute/test_heterograph.py::test_query[idtype0] 0.66s call tests/compute/test_kernel.py::test_copy_src_reduce 0.65s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.63s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] 0.63s call tests/compute/test_data.py::test_csvdataset 0.59s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] 0.58s call tests/compute/test_heterograph.py::test_query[idtype1] 0.55s call tests/compute/test_transform.py::test_reorder_nodes 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] 0.48s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] 0.48s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.48s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] 0.46s call tests/compute/test_data.py::test_minigc 0.45s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] 0.44s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] 0.43s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] 0.42s call tests/compute/test_data.py::test_as_nodepred2 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] 0.42s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] 0.40s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] 0.38s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] 0.36s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] 0.34s call tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] ========== 2404 passed, 73 skipped, 278 warnings in 441.48s (0:07:21) ========== PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] ============================= 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-4814@2 collecting ... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] collected 3531 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] Client [1093] waits on 172.17.0.3:58221 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:45] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 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 ('n1', 'r12', 'n2') and 2109 are inside the partition part 0 has 3328 edges of type ('n1', 'r13', 'n3') and 2342 are inside the partition part 0 has 3166 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 2091 are inside the partition part 1 has 3191 edges of type ('n1', 'r13', 'n3') and 2278 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2183 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 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] load test_sampling start graph service on server 0 for part 0 [10:27:46] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:46] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] load test_sampling start graph service on server 1 for part 1 [10:27:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [10:27:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] Client [1093] waits on 172.17.0.3:49771 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:51] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.443 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: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 100 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 2989 edges of type ('n1', 'r12', 'n2') and 2109 are inside the partition part 0 has 3328 edges of type ('n1', 'r13', 'n3') and 2342 are inside the partition part 0 has 3166 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 2091 are inside the partition part 1 has 3191 edges of type ('n1', 'r13', 'n3') and 2278 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2183 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.443 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] load test_sampling start graph service on server 0 for part 0 [10:27:51] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:51] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] load test_sampling start graph service on server 1 for part 1 [10:27:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] [10:27:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] Client [1093] waits on 172.17.0.3:37959 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] Server (1) shutdown. Server (0) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:27:57] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 23980 edges into 2 parts and get 4887 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.443 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: 1.443 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 214 nodes of type n3 and 111 are inside the partition part 0 has 2646 edges of type ('n1', 'r12', 'n2') and 1856 are inside the partition part 0 has 2949 edges of type ('n1', 'r13', 'n3') and 2133 are inside the partition part 0 has 2765 edges of type ('n2', 'r23', 'n3') 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 ('n1', 'r12', 'n2') and 1944 are inside the partition part 1 has 2976 edges of type ('n1', 'r13', 'n3') and 2067 are inside the partition part 1 has 2834 edges of type ('n2', 'r23', 'n3') and 1970 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.443 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] load test_sampling start graph service on server 0 for part 0 [10:27:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] load test_sampling start graph service on server 1 for part 1 [10:27:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [10:27:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:27:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] Client [1093] waits on 172.17.0.3:55053 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] Server (0) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:03] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 23 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 499 nodes of type game and 486 are inside the partition part 0 has 255 nodes of type user and 246 are inside the partition part 0 has 502 edges of type ('user', 'buys', 'game') and 489 are inside the partition part 1 has 524 nodes of type game and 514 are inside the partition part 1 has 267 nodes of type user and 254 are inside the partition part 1 has 521 edges of type ('user', 'buys', 'game') and 511 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] load test_sampling start graph service on server 0 for part 0 [10:28:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19012]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] load test_sampling start graph service on server 1 for part 1 [10:28:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19014]... [10:28:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] Client [1093] waits on 172.17.0.3:57421 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 21 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 520 nodes of type game and 508 are inside the partition part 0 has 265 nodes of type user and 256 are inside the partition part 0 has 543 edges of type ('user', 'buys', 'game') and 531 are inside the partition part 1 has 501 nodes of type game and 492 are inside the partition part 1 has 256 nodes of type user and 244 are inside the partition part 1 has 478 edges of type ('user', 'buys', 'game') and 469 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] load test_sampling start graph service on server 0 for part 0 [10:28:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:09] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14572]... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] load test_sampling start graph service on server 1 for part 1 [10:28:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:14574]... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] [10:28:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:10] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] Client [1093] waits on 172.17.0.3:55999 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... 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] Done sampling Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:15] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 24 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 526 nodes of type game and 515 are inside the partition part 0 has 262 nodes of type user and 250 are inside the partition part 0 has 543 edges of type ('user', 'buys', 'game') and 531 are inside the partition part 1 has 497 nodes of type game and 485 are inside the partition part 1 has 262 nodes of type user and 250 are inside the partition part 1 has 481 edges of type ('user', 'buys', 'game') and 469 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] load test_sampling start graph service on server 0 for part 0 [10:28:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29349]... 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] load test_sampling start graph service on server 1 for part 1 [10:28:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29351]... [10:28:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt 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] Client [1093] waits on 172.17.0.3:52737 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: 1.443 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 26 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.443 GB part 0 has 499 nodes of type game and 487 are inside the partition part 0 has 261 nodes of type user and 247 are inside the partition part 0 has 494 edges of type ('user', 'buys', 'game') and 482 are inside the partition part 1 has 527 nodes of type game and 513 are inside the partition part 1 has 264 nodes of type user and 253 are inside the partition part 1 has 532 edges of type ('user', 'buys', 'game') and 518 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.443 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] load test_sampling start graph service on server 0 for part 0 [10:28:21] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:21] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10976]... 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] load test_sampling start graph service on server 1 for part 1 [10:28:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10978]... [10:28:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] Client [1093] waits on 172.17.0.3:42623 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.Done sampling Server is exiting... PASSED [ 8%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.016 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.041 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 8%] 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:26] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.443 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.014 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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] load test_in_subgraph start graph service on server 0 for part 0 [10:28:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17623]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] load test_in_subgraph start graph service on server 1 for part 1 [10:28:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17625]... [10:28:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 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] Client [1093] waits on 172.17.0.3:36933 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 [ 9%] tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.001 seconds, peak memory: 1.443 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.022 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 9%] tests/distributed/test_mp_dataloader.py::test_standalone NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Save partitions: 0.015 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. 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 [ 10%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:31] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.443 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-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:28:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23746]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:28:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23749]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:28:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23752]... [10:28:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 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] Client [1938] waits on 172.17.0.3:37127 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. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 10%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:40] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:28:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17223]... PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] server: #clients=5 load test_sampling PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] start graph service on server 1 for part 1 [10:28:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17226]... PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:28:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17229]... PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] 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tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 16%] 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tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 22%] 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tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 25%] 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tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 27%] tests/pytorch/test_nn.py::test_set2set PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 27%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 28%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 28%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] Client [1973] waits on 172.17.0.3:60725 Client [1975] waits on 172.17.0.3:50103Client [1972] waits on 172.17.0.3:32937 Client [1968] waits on 172.17.0.3:51897 Machine (0) group (0) client (4) connect to server successfuly! Client [1974] waits on 172.17.0.3:38835 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! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] 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[0] in group[0] is exiting... PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] Client[4] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] Client[1] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] Client[2] in group[0] is exiting... PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] Server (0) shutdown. Server is exiting... Server (2) shutdown.Server (1) shutdown. Server is exiting...Server is exiting... PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 11%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:52] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:28:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24719]... PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:28:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:28:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24722]... 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Client[0] in group[0] is exiting... PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 11%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 49%] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:28:59] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:29:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29309]... PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 53%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 53%] tests/pytorch/test_nn.py::test_sequential PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:29:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29312]... PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] server: #clients=5 load test_sampling PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] start graph service on server 2 for part 2 [10:29:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:29315]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] [10:29:03] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:03] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 55%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] [10:29:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-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] Client [2108] waits on 172.17.0.3:52359Client [2109] waits on 172.17.0.3:50337Client [2104] waits on 172.17.0.3:40439 Client [2110] waits on 172.17.0.3:53815 Client [2111] waits on 172.17.0.3:47073 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! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. 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-shp5-g0] Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] Client[4] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] Client[1] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] Server (2) shutdown. Server is exiting... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 12%] 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:29:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Split the graph: 0.002 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.016 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:29:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:13] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19115]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:29:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19118]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:29:15] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:15] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19121]... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] [10:29:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] Client [2210] waits on 172.17.0.3:48617 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 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 [ 12%] 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 0.002s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:29:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.024 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:29:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:20] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10212]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:29:21] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:21] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10215]... 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] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:29:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:22] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:10218]... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] [10:29:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] Client [2247] waits on 172.17.0.3:60127 Client [2245] waits on 172.17.0.3:50711 Client [2244] waits on 172.17.0.3:50337Client [2246] waits on 172.17.0.3:43273 Client [2238] waits on 172.17.0.3:39565 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! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] Client[3] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] Client[4] in group[0] is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] Server (2) shutdown. Server is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 13%] 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:29:32] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:29:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15231]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:29:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15234]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:29:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15237]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] [10:29:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] Client [2344] waits on 172.17.0.3:35825 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. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown.Server (1) shutdown. Server is exiting...Server is exiting... PASSED [ 13%] 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: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:29:40] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.443 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.443 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:29:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23848]... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:29:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23851]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:29:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:23854]... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:44] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:45] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:45] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:29:45] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:45] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] Client [2380] waits on 172.17.0.3:60619 Client [2374] waits on 172.17.0.3:58769Client [2381] waits on 172.17.0.3:34515 Client [2378] waits on 172.17.0.3:51933 Client [2379] waits on 172.17.0.3:44683 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 (3) 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-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[2] in group[0] is exiting... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] Client[1] in group[0] is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] Client[4] in group[0] is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] Client[0] in group[0] is exiting... 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 (2) shutdown. Server (1) shutdown.Server (0) shutdown. Server is exiting... Server is exiting... Server is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] PASSED [ 14%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.443 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.443 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.443 GB [10:29:53] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.443 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.443 GB 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: 1.443 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.019 seconds, peak memory: 1.443 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:29:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21149]... 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] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:29:55] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:55] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21152]... 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] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:29:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21155]... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] [10:29:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:29:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] Client [2480] waits on 172.17.0.3:50125 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] Client[0] in group[0] is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 56%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 56%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 56%] tests/pytorch/test_nn.py::test_twirls PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 56%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 56%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%]PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] Converting to homogeneous graph takes 0.010s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.833 GB [10:30:15] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152506 edge cuts Metis partitioning: 0.191 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.208s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.054 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.125s, peak mem: 1.833 GB part 0 has 9959 nodes of type n1 and 3134 are inside the partition part 0 has 9959 nodes of type n2 and 3145 are inside the partition part 0 has 9966 nodes of type n3 and 3141 are inside the partition part 0 has 47346 edges of type ('n1', 'r1', 'n2') and 31363 are inside the partition part 0 has 47796 edges of type ('n1', 'r2', 'n3') and 31230 are inside the partition part 0 has 47434 edges of type ('n2', 'r3', 'n3') and 31315 are inside the partition part 1 has 9977 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3439 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34315 are inside the partition part 1 has 51886 edges of type ('n1', 'r2', 'n3') and 34715 are inside the partition part 1 has 51820 edges of type ('n2', 'r3', 'n3') and 34469 are inside the partition part 2 has 9976 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3429 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51784 edges of type ('n1', 'r1', 'n2') and 34422 are inside the partition part 2 has 51699 edges of type ('n1', 'r2', 'n3') and 34255 are inside the partition part 2 has 51809 edges of type ('n2', 'r3', 'n3') and 34516 are inside the partition Save partitions: 0.030 seconds, peak memory: 1.833 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:30:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19105]... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:30:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19108]... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:30:18] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:18] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:19111]... PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] [10:30:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] Client [2520] waits on 172.17.0.3:50551 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814@4 [Pipeline] { 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... [Pipeline] checkout PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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 [ 14%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-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: 1.833 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:30:23] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 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: 1.833 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[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:30:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15094]... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] Cleaning workspace Fetching without tags PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # timeout=10 server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:30:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15097]... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] Merge succeeded, producing 5b0b0c80988e492a21c07c621fb642987aa76b40 Checking out Revision 5b0b0c80988e492a21c07c621fb642987aa76b40 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] server: #clients=5 load test_sampling [Pipeline] withEnv [Pipeline] { PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 5b0b0c80988e492a21c07c621fb642987aa76b40 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 5b0b0c80988e492a21c07c621fb642987aa76b40 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] start graph service on server 2 for part 2 [10:30:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:15100]... + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] [10:30:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] 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 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] [Pipeline] sh PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [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-4814@4 -v /root/jenkins/workspace/dgl_PR-4814@4:/root/jenkins/workspace/dgl_PR-4814@4:rw,z -v /root/jenkins/workspace/dgl_PR-4814@4@tmp:/root/jenkins/workspace/dgl_PR-4814@4@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:28] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] $ docker top ba5f0b5927e3e065ecd9119aa4f6309bac448cb92bcaebe0d000e70bc43c7372 -eo pid,comm PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet CPU Unit test) [Pipeline] sh PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@1ea4a847; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] Fetching without tags PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] Merge succeeded, producing 933568b5531c5869b0ca31994512c0cf87e81b24 Checking out Revision 933568b5531c5869b0ca31994512c0cf87e81b24 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 933568b5531c5869b0ca31994512c0cf87e81b24 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 933568b5531c5869b0ca31994512c0cf87e81b24 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] [Pipeline] sh PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] + git submodule update --recursive --init PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] 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-4814@4/third_party/METIS'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] Client [2555] waits on 172.17.0.3:54315 Client [2556] waits on 172.17.0.3:46465 Client [2557] waits on 172.17.0.3:40241Client [2554] waits on 172.17.0.3:49203 Client [2548] waits on 172.17.0.3:36051 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! PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/dlpack'... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] Client[4] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] Client[2] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/dmlc-core'... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] Client[1] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/googletest'... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/libxsmm'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_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-shp3-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_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-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] Converting to homogeneous graph takes 0.008s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.833 GB [10:30:48] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152506 edge cuts Metis partitioning: 0.184 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.202s, peak mem: 1.833 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 0.106s, peak mem: 1.833 GB part 0 has 9959 nodes of type n1 and 3134 are inside the partition part 0 has 9959 nodes of type n2 and 3145 are inside the partition part 0 has 9966 nodes of type n3 and 3141 are inside the partition part 0 has 47346 edges of type ('n1', 'r1', 'n2') and 31363 are inside the partition part 0 has 47796 edges of type ('n1', 'r2', 'n3') and 31230 are inside the partition part 0 has 47434 edges of type ('n2', 'r3', 'n3') and 31315 are inside the partition part 1 has 9977 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3439 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34315 are inside the partition part 1 has 51886 edges of type ('n1', 'r2', 'n3') and 34715 are inside the partition part 1 has 51820 edges of type ('n2', 'r3', 'n3') and 34469 are inside the partition part 2 has 9976 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3429 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51784 edges of type ('n1', 'r1', 'n2') and 34422 are inside the partition part 2 has 51699 edges of type ('n1', 'r2', 'n3') and 34255 are inside the partition part 2 has 51809 edges of type ('n2', 'r3', 'n3') and 34516 are inside the partition Save partitions: 0.028 seconds, peak memory: 1.833 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:30:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17055]... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:30:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17058]... PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:30:51] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:51] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17061]... PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] [10:30:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:52] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:30:53] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/thrust'... PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tvm'... PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] Client [2670] waits on 172.17.0.3:58739 Client [2671] waits on 172.17.0.3:56371Client [2668] waits on 172.17.0.3:53453 Client [2669] waits on 172.17.0.3:45833 Client [2664] waits on 172.17.0.3:38229 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] Client[1] in group[0] is exiting... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] Client[4] in group[0] is exiting... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] Client[3] in group[0] is exiting... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 15%] 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: 1.833 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:31:00] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.833 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: 1.833 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: 0.020 seconds, peak memory: 1.833 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:31:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:01] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21029]... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/xbyak'... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:31:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21032]... 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-4814@4/third_party/METIS/GKlib'... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:31:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:04] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21035]... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-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-4814@4/third_party/tensorpipe/third_party/googletest'... PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] [10:31:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:05] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tensorpipe/third_party/libuv'... PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] Client [2770] waits on 172.17.0.3:43363 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tensorpipe/third_party/pybind11'... PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-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' 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-4814@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] 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-4814@4/third_party/thrust/dependencies/cub'... PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] 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-4814@4/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tvm/3rdparty/rang'... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4814@4/third_party/tvm/3rdparty/vta-hw'... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] [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 [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] + bash tests/scripts/task_unit_test.sh mxnet cpu PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) PASSED [ 73%] 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PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] Converting to homogeneous graph takes 0.011s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.833 GB [10:31:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152506 edge cuts Metis partitioning: 0.180 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.200s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.054 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.119s, peak mem: 1.833 GB part 0 has 9959 nodes of type n1 and 3134 are inside the partition part 0 has 9959 nodes of type n2 and 3145 are inside the partition part 0 has 9966 nodes of type n3 and 3141 are inside the partition part 0 has 47346 edges of type ('n1', 'r1', 'n2') and 31363 are inside the partition part 0 has 47796 edges of type ('n1', 'r2', 'n3') and 31230 are inside the partition part 0 has 47434 edges of type ('n2', 'r3', 'n3') and 31315 are inside the partition part 1 has 9977 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3439 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34315 are inside the partition part 1 has 51886 edges of type ('n1', 'r2', 'n3') and 34715 are inside the partition part 1 has 51820 edges of type ('n2', 'r3', 'n3') and 34469 are inside the partition part 2 has 9976 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3429 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51784 edges of type ('n1', 'r1', 'n2') and 34422 are inside the partition part 2 has 51699 edges of type ('n1', 'r2', 'n3') and 34255 are inside the partition part 2 has 51809 edges of type ('n2', 'r3', 'n3') and 34516 are inside the partition Save partitions: 0.030 seconds, peak memory: 1.833 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 load test_sampling start graph service on server 0 for part 0 [10:31:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:23] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13349]... PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:31:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:24] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13352]... PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:31:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:25] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13355]... PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] [10:31:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] Client [2808] waits on 172.17.0.3:59773 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] Server (2) shutdown. Server is exiting... PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 15%] 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: 1.833 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:31:31] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 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: 1.833 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) 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: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: setuptools>=44 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (58.0.4) Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl 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) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] server: #clients=5 load test_sampling PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] start graph service on server 0 for part 0 [10:31:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:32] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13039]... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [10:31:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13042]... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:31:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13045]... PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] [10:31:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:35] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] [[10:31:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc10:31:36:] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc141:: 141Sender with NetType~: socketSender with NetType~ is created.socket is created. [10:31:36[] 10:31:36/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc161:: 161Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] [10:31:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:31:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 41%] 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 [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] 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 [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 81%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] Client [2842] waits on 172.17.0.3:49795 Client [2844] waits on 172.17.0.3:57339 Client [2838] waits on 172.17.0.3:56545Client [2843] waits on 172.17.0.3:36025 Client [2845] waits on 172.17.0.3:39471 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 (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! PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 82%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] 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 [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] Client[0] in group[0] is exiting... 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 [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (U...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (U...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] Client[4] in group[0] is exiting... 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] Client[1] in group[0] is exiting... 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] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... 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] Server (2) shutdown. Server is exiting... 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 [ 85%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.5 outdated-0.2.2 pandas-1.1.5 psutil-5.9.3 pydantic-1.9.2 pytz-2022.6 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-4814@4 collecting ... 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 [ 45%] 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 [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 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 [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] 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] Converting to homogeneous graph takes 0.007s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.833 GB [10:31:56] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152506 edge cuts Metis partitioning: 0.174 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.192s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.051 seconds Construct subgraphs: 0.044 seconds Splitting the graph into partitions takes 0.116s, peak mem: 1.833 GB part 0 has 9959 nodes of type n1 and 3134 are inside the partition part 0 has 9959 nodes of type n2 and 3145 are inside the partition part 0 has 9966 nodes of type n3 and 3141 are inside the partition part 0 has 47346 edges of type ('n1', 'r1', 'n2') and 31363 are inside the partition part 0 has 47796 edges of type ('n1', 'r2', 'n3') and 31230 are inside the partition part 0 has 47434 edges of type ('n2', 'r3', 'n3') and 31315 are inside the partition part 1 has 9977 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3439 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34315 are inside the partition part 1 has 51886 edges of type ('n1', 'r2', 'n3') and 34715 are inside the partition part 1 has 51820 edges of type ('n2', 'r3', 'n3') and 34469 are inside the partition part 2 has 9976 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3429 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51784 edges of type ('n1', 'r1', 'n2') and 34422 are inside the partition part 2 has 51699 edges of type ('n1', 'r2', 'n3') and 34255 are inside the partition part 2 has 51809 edges of type ('n2', 'r3', 'n3') and 34516 are inside the partition Save partitions: 0.027 seconds, peak memory: 1.833 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 load test_sampling start graph service on server 0 for part 0 [10:31:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22449]... 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] server: #clients=5 load test_sampling collected 2472 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 [ 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] start graph service on server 1 for part 1 [10:31:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:31:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22452]... PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] 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 [ 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 [ 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] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [10:32:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:22455]... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 86%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 86%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) 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[10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:02] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] 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 [ 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 [ 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int64] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] PASSED [ 3%] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] 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 (Skip MXNet) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Skip MXNet) [ 4%] tests/compute/test_data.py::test_fraud SKIPPED (Skip MXNet) [ 4%] tests/compute/test_data.py::test_fakenews SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Skip ...) 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[ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] SKIPPED (CPU ...) [ 6%] tests/compute/test_filter.py::test_array_filter[int64] SKIPPED (CPU ...) 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tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype0] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype1] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-4] SKIPPED [ 96%]PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype0] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype0] Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype0] Client[0] in group[0] is exiting... PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] Client[1] in group[0] is exiting... PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [100%]PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] Client[2] in group[0] is exiting... =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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-4814@2/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: 86 warnings /root/jenkins/workspace/dgl_PR-4814@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: 320 warnings /root/jenkins/workspace/dgl_PR-4814@2/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: 52 warnings /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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 /root/jenkins/workspace/dgl_PR-4814@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] /root/jenkins/workspace/dgl_PR-4814@2/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] /root/jenkins/workspace/dgl_PR-4814@2/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-4814@2/pytest_backend.xml - ============================ slowest 100 durations ============================= 18.64s call tests/pytorch/test_dist_optim.py::test_sparse_opt 15.37s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 5.79s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 5.61s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 5.21s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 4.46s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 4.17s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 3.85s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 3.25s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 3.24s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 3.21s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 3.20s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 3.11s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] 3.10s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 3.09s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 3.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 2.68s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 2.63s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.43s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 1.83s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 1.82s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.69s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.64s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.46s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.45s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 1.40s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.38s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 0.98s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 0.91s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.90s call tests/pytorch/test_ipc.py::test_torch_ipc 0.90s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.89s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 0.88s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 0.87s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 0.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 0.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 0.83s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 0.82s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 0.81s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 0.81s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.73s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 0.70s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 0.70s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] 0.69s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.69s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] 0.68s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] 0.68s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 0.67s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 0.67s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] 0.66s call tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] 0.66s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.66s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] 0.64s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.63s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 0.62s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] 0.61s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 0.60s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] 0.58s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] 0.56s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 0.56s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 0.55s call tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] 0.55s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 0.55s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 0.55s call tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] 0.54s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.52s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.50s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] 0.49s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] 0.48s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.48s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 0.47s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] 0.46s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.46s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] 0.45s call tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] 0.45s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] 0.43s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] 0.43s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] 0.43s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] 0.43s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] 0.42s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] 0.42s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] 0.41s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] 0.41s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] 0.41s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.40s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] 0.40s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] 0.39s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] 0.39s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] 0.38s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] 0.37s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] 0.36s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.36s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] 0.35s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] 0.35s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] 0.35s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] 0.34s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] 0.34s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] 0.34s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] 0.33s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] 0.33s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] ========= 3160 passed, 371 skipped, 484 warnings in 263.81s (0:04:23) ========== PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] 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] [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] + rm -rf BA-2motifs BA-2motifs-as-graphpred BA-2motifs.pkl BA-COMMUNITY BA-SHAPES CMakeLists.txt CONTRIBUTORS.md DD DD-as-graphpred DD.zip GINDataset GINDataset.zip IMDBBINARY IMDBMULTI Jenkinsfile LICENSE MUTAG MUTAG-as-graphpred NEWS.md PROTEINS PTC README.md TREE-CYCLES TREE-GRIDS ZINC_test ZINC_test.zip aifb-hetero aifb-hetero-as-nodepred aifb-hetero.zip amazon amazon.zip amazon_co_buy_computer amazon_co_buy_computer-as-nodepred amazon_co_buy_computer.zip amazon_co_buy_photo amazon_co_buy_photo.zip apps benchmarks build citeseer citeseer.zip cluster_gcn.pkl cmake coauthor_cs coauthor_cs.zip coauthor_physics coauthor_physics.zip conda cora_full cora_full.zip cora_v2 cora_v2-as-linkpred cora_v2.zip dataset default_name-as-nodepred dglgo docker docs examples featgraph flickr flickr.zip gossipcop gossipcop.zip include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt politifact politifact-as-graphpred politifact.zip pubmed pubmed.zip pyproject.toml pytest_backend.xml pytest_compute.xml python qm7b qm7b-as-graphpred qm7b.mat qm9-as-graphpred qm9Edge-as-graphpred qm9_eV.npz qm9_edge.npz readthedocs.yml reddit reddit.zip src tensoradapter tests third_party tools tutorials wiki_cs wiki_cs.zip yelp yelp.zip PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] 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 [ 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 [ 6%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 6%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 6%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] Server (2) shutdown.Server (0) shutdown.Server (1) shutdown. Server is exiting...Server is exiting...Server is exiting... 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] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 16%] 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: 1.833 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:32:10] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.833 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: 1.833 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: 0.029 seconds, peak memory: 1.833 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] [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@518eac2c; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 server: #clients=1 load test_sampling PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] Fetching without tags start graph service on server 0 for part 0 [10:32:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13169]... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing 1efe1a11e407cf42eac3a7a92524c910e0b60501 Checking out Revision 1efe1a11e407cf42eac3a7a92524c910e0b60501 (PR-4814) PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:32:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:12] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13172]... Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace 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] [Pipeline] sh PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1efe1a11e407cf42eac3a7a92524c910e0b60501 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 1efe1a11e407cf42eac3a7a92524c910e0b60501 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:32:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:13175]... + git submodule update --recursive --init PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] 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%][10:32:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:14] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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] 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' PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 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 [ 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] + bash tests/scripts/task_example_test.sh cpu Client [3060] waits on 172.17.0.3:55491 Machine (0) group (0) client (0) connect to server successfuly! 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] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] /root/jenkins/workspace/dgl_PR-4814@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([0.0092, 0.0166, 0.0130, 0.0138, 0.0095, 0.0127, 0.0128, 0.0066, 0.0077, 0.0130, 0.0080, 0.0078, 0.0105, 0.0081, 0.0142, 0.0097, 0.0060, 0.0081, 0.0095, 0.0112, 0.0124, 0.0077, 0.0077, 0.0156, 0.0048, 0.0161, 0.0141, 0.0211, 0.0062, 0.0077, 0.0062, 0.0111, 0.0077, 0.0111, 0.0193, 0.0110, 0.0096, 0.0080, 0.0082, 0.0114, 0.0110, 0.0077, 0.0107, 0.0100, 0.0159, 0.0066, 0.0061, 0.0087, 0.0132, 0.0094, 0.0142, 0.0072, 0.0094, 0.0129, 0.0064, 0.0110, 0.0062, 0.0113, 0.0048, 0.0122, 0.0111, 0.0065, 0.0156, 0.0084, 0.0066, 0.0110, 0.0078, 0.0127, 0.0093, 0.0071, 0.0108, 0.0139, 0.0136, 0.0062, 0.0080, 0.0084, 0.0061, 0.0066, 0.0062, 0.0140, 0.0067, 0.0124, 0.0110, 0.0157, 0.0100, 0.0081, 0.0092, 0.0039, 0.0079, 0.0097, 0.0124, 0.0049, 0.0098, 0.0061, 0.0131, 0.0081, 0.0063, 0.0111, 0.0110, 0.0128]) 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] Server (2) shutdown.Server (1) shutdown. Server is exiting...Server is exiting... 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 [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int32] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] 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 [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] 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] Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4814@2/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4814@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 1.9453 | Accuracy 0.2000 Epoch 00001 | Loss 1.9398 | Accuracy 0.3180 Epoch 00002 | Loss 1.9340 | Accuracy 0.4440 Epoch 00003 | Loss 1.9250 | Accuracy 0.4320 Epoch 00004 | Loss 1.9160 | Accuracy 0.4500 Epoch 00005 | Loss 1.9064 | Accuracy 0.4620 Epoch 00006 | Loss 1.8987 | Accuracy 0.4460 Epoch 00007 | Loss 1.8916 | Accuracy 0.4440 Epoch 00008 | Loss 1.8713 | Accuracy 0.4360 Epoch 00009 | Loss 1.8600 | Accuracy 0.4340 Epoch 00010 | Loss 1.8503 | Accuracy 0.4460 Epoch 00011 | Loss 1.8389 | Accuracy 0.4700 Epoch 00012 | Loss 1.8226 | Accuracy 0.4840 Epoch 00013 | Loss 1.8130 | Accuracy 0.5100 Epoch 00014 | Loss 1.7969 | Accuracy 0.5400 Epoch 00015 | Loss 1.7776 | Accuracy 0.5600 Epoch 00016 | Loss 1.7593 | Accuracy 0.5760 Epoch 00017 | Loss 1.7487 | Accuracy 0.5900 Epoch 00018 | Loss 1.7408 | Accuracy 0.6120 Epoch 00019 | Loss 1.7178 | Accuracy 0.6300 Epoch 00020 | Loss 1.6895 | Accuracy 0.6440 Epoch 00021 | Loss 1.6762 | Accuracy 0.6580 Epoch 00022 | Loss 1.6588 | Accuracy 0.6660 Epoch 00023 | Loss 1.6348 | Accuracy 0.6740 Epoch 00024 | Loss 1.6101 | Accuracy 0.6740 Epoch 00025 | Loss 1.5794 | Accuracy 0.6720 Epoch 00026 | Loss 1.5923 | Accuracy 0.6740 Epoch 00027 | Loss 1.5480 | Accuracy 0.6720 Epoch 00028 | Loss 1.5567 | Accuracy 0.6760 Epoch 00029 | Loss 1.5061 | Accuracy 0.6780 Epoch 00030 | Loss 1.4931 | Accuracy 0.6840 Epoch 00031 | Loss 1.4996 | Accuracy 0.6980 Epoch 00032 | Loss 1.4723 | Accuracy 0.6940 Epoch 00033 | Loss 1.4448 | Accuracy 0.7060 Epoch 00034 | Loss 1.4325 | Accuracy 0.7060 Epoch 00035 | Loss 1.4074 | Accuracy 0.7200 Epoch 00036 | Loss 1.3826 | Accuracy 0.7240 Epoch 00037 | Loss 1.3505 | Accuracy 0.7300 Epoch 00038 | Loss 1.3409 | Accuracy 0.7300 Epoch 00039 | Loss 1.3055 | Accuracy 0.7360 Epoch 00040 | Loss 1.2870 | Accuracy 0.7380 Epoch 00041 | Loss 1.2546 | Accuracy 0.7440 Epoch 00042 | Loss 1.2546 | Accuracy 0.7440 Epoch 00043 | Loss 1.2219 | Accuracy 0.7440 Epoch 00044 | Loss 1.2252 | Accuracy 0.7460 Epoch 00045 | Loss 1.1972 | Accuracy 0.7480 Epoch 00046 | Loss 1.1832 | Accuracy 0.7500 Epoch 00047 | Loss 1.1319 | Accuracy 0.7540 Epoch 00048 | Loss 1.1309 | Accuracy 0.7560 Epoch 00049 | Loss 1.1537 | Accuracy 0.7520 Epoch 00050 | Loss 1.0767 | Accuracy 0.7480 Epoch 00051 | Loss 1.1048 | Accuracy 0.7540 Epoch 00052 | Loss 1.0466 | Accuracy 0.7560 Epoch 00053 | Loss 1.0491 | Accuracy 0.7560 Epoch 00054 | Loss 0.9812 | Accuracy 0.7600 Epoch 00055 | Loss 0.9990 | Accuracy 0.7640 Epoch 00056 | Loss 0.9896 | Accuracy 0.7640 Epoch 00057 | Loss 0.9481 | Accuracy 0.7660 Epoch 00058 | Loss 0.9474 | Accuracy 0.7700 Epoch 00059 | Loss 0.9156 | Accuracy 0.7720 Epoch 00060 | Loss 0.9114 | Accuracy 0.7760 Epoch 00061 | Loss 0.9017 | Accuracy 0.7780 Epoch 00062 | Loss 0.9068 | Accuracy 0.7760 Epoch 00063 | Loss 0.8561 | Accuracy 0.7800 Epoch 00064 | Loss 0.8743 | Accuracy 0.7880 Epoch 00065 | Loss 0.9070 | Accuracy 0.7920 Epoch 00066 | Loss 0.8737 | Accuracy 0.7860 Epoch 00067 | Loss 0.8516 | Accuracy 0.7780 Epoch 00068 | Loss 0.8134 | Accuracy 0.7780 Epoch 00069 | Loss 0.8195 | Accuracy 0.7820 Epoch 00070 | Loss 0.8042 | Accuracy 0.7780 Epoch 00071 | Loss 0.7817 | Accuracy 0.7800 Epoch 00072 | Loss 0.7558 | Accuracy 0.7860 Epoch 00073 | Loss 0.7751 | Accuracy 0.7920 Epoch 00074 | Loss 0.7593 | Accuracy 0.7960 Epoch 00075 | Loss 0.7493 | Accuracy 0.7940 Epoch 00076 | Loss 0.7496 | Accuracy 0.8000 Epoch 00077 | Loss 0.7137 | Accuracy 0.7980 Epoch 00078 | Loss 0.6784 | Accuracy 0.8000 Epoch 00079 | Loss 0.7183 | Accuracy 0.7960 Epoch 00080 | Loss 0.7095 | Accuracy 0.7920 Epoch 00081 | Loss 0.7052 | Accuracy 0.7960 Epoch 00082 | Loss 0.6924 | Accuracy 0.7980 Epoch 00083 | Loss 0.7113 | Accuracy 0.8020 Epoch 00084 | Loss 0.6451 | Accuracy 0.8040 Epoch 00085 | Loss 0.6360 | Accuracy 0.8040 Epoch 00086 | Loss 0.6609 | Accuracy 0.8040 Epoch 00087 | Loss 0.6186 | Accuracy 0.7940 Epoch 00088 | Loss 0.6051 | Accuracy 0.7920 Epoch 00089 | Loss 0.6014 | Accuracy 0.7860 Epoch 00090 | Loss 0.6292 | Accuracy 0.7860 Epoch 00091 | Loss 0.5995 | Accuracy 0.7900 Epoch 00092 | Loss 0.6147 | Accuracy 0.8000 Epoch 00093 | Loss 0.5694 | Accuracy 0.8120 Epoch 00094 | Loss 0.5832 | Accuracy 0.8100 Epoch 00095 | Loss 0.5513 | Accuracy 0.8060 Epoch 00096 | Loss 0.5670 | Accuracy 0.8120 Epoch 00097 | Loss 0.5860 | Accuracy 0.8100 Epoch 00098 | Loss 0.5891 | Accuracy 0.8120 Epoch 00099 | Loss 0.5859 | Accuracy 0.8060 Epoch 00100 | Loss 0.5315 | Accuracy 0.7960 Epoch 00101 | Loss 0.5444 | Accuracy 0.7940 Epoch 00102 | Loss 0.5401 | Accuracy 0.7860 Epoch 00103 | Loss 0.5000 | Accuracy 0.7840 Epoch 00104 | Loss 0.4922 | Accuracy 0.7860 Epoch 00105 | Loss 0.5650 | Accuracy 0.7980 Epoch 00106 | Loss 0.4762 | Accuracy 0.7960 Epoch 00107 | Loss 0.4881 | Accuracy 0.7980 Epoch 00108 | Loss 0.5373 | Accuracy 0.8000 Epoch 00109 | Loss 0.5207 | Accuracy 0.8000 Epoch 00110 | Loss 0.5256 | Accuracy 0.7980 Epoch 00111 | Loss 0.5012 | Accuracy 0.8020 Epoch 00112 | Loss 0.4726 | Accuracy 0.8000 Epoch 00113 | Loss 0.5061 | Accuracy 0.8000 Epoch 00114 | Loss 0.5162 | Accuracy 0.8080 Epoch 00115 | Loss 0.5100 | Accuracy 0.8000 Epoch 00116 | Loss 0.4484 | Accuracy 0.8020 Epoch 00117 | Loss 0.5013 | Accuracy 0.7980 Epoch 00118 | Loss 0.4565 | Accuracy 0.7980 Epoch 00119 | Loss 0.4916 | Accuracy 0.8000 Epoch 00120 | Loss 0.4731 | Accuracy 0.8000 Epoch 00121 | Loss 0.4566 | Accuracy 0.8020 Epoch 00122 | Loss 0.4666 | Accuracy 0.8040 Epoch 00123 | Loss 0.4375 | Accuracy 0.8040 Epoch 00124 | Loss 0.4397 | Accuracy 0.7960 Epoch 00125 | Loss 0.4631 | Accuracy 0.8000 Epoch 00126 | Loss 0.4286 | Accuracy 0.7960 Epoch 00127 | Loss 0.4181 | Accuracy 0.7960 Epoch 00128 | Loss 0.4139 | Accuracy 0.7960 Epoch 00129 | Loss 0.4755 | Accuracy 0.8020 Epoch 00130 | Loss 0.4559 | Accuracy 0.8020 Epoch 00131 | Loss 0.4523 | Accuracy 0.8040 Epoch 00132 | Loss 0.4155 | Accuracy 0.8040 Epoch 00133 | Loss 0.4354 | Accuracy 0.8040 Epoch 00134 | Loss 0.4419 | Accuracy 0.8020 Epoch 00135 | Loss 0.3848 | Accuracy 0.8000 Epoch 00136 | Loss 0.4270 | Accuracy 0.8000 Epoch 00137 | Loss 0.4058 | Accuracy 0.8000 Epoch 00138 | Loss 0.4012 | Accuracy 0.7980 Epoch 00139 | Loss 0.4255 | Accuracy 0.7980 Epoch 00140 | Loss 0.4023 | Accuracy 0.8000 Epoch 00141 | Loss 0.4210 | Accuracy 0.8000 Epoch 00142 | Loss 0.4075 | Accuracy 0.8020 Epoch 00143 | Loss 0.3943 | Accuracy 0.8040 Epoch 00144 | Loss 0.4286 | Accuracy 0.8020 Epoch 00145 | Loss 0.3846 | Accuracy 0.8000 Epoch 00146 | Loss 0.3775 | Accuracy 0.8000 Epoch 00147 | Loss 0.4118 | Accuracy 0.8000 Epoch 00148 | Loss 0.4285 | Accuracy 0.8020 Epoch 00149 | Loss 0.3797 | Accuracy 0.8020 Epoch 00150 | Loss 0.3840 | Accuracy 0.7960 Epoch 00151 | Loss 0.3949 | Accuracy 0.7940 Epoch 00152 | Loss 0.3390 | Accuracy 0.7920 Epoch 00153 | Loss 0.3792 | Accuracy 0.7940 Epoch 00154 | Loss 0.3848 | Accuracy 0.8000 Epoch 00155 | Loss 0.3817 | Accuracy 0.8020 Epoch 00156 | Loss 0.3765 | Accuracy 0.8000 Epoch 00157 | Loss 0.3686 | Accuracy 0.7980 Epoch 00158 | Loss 0.3819 | Accuracy 0.7980 Epoch 00159 | Loss 0.3747 | Accuracy 0.8000 Epoch 00160 | Loss 0.3757 | Accuracy 0.8020 Epoch 00161 | Loss 0.3240 | Accuracy 0.7960 Epoch 00162 | Loss 0.3534 | Accuracy 0.7960 Epoch 00163 | Loss 0.3497 | Accuracy 0.8020 Epoch 00164 | Loss 0.3845 | Accuracy 0.8020 Epoch 00165 | Loss 0.3711 | Accuracy 0.8040 Epoch 00166 | Loss 0.3987 | Accuracy 0.8000 Epoch 00167 | Loss 0.3763 | Accuracy 0.7980 Epoch 00168 | Loss 0.3533 | Accuracy 0.7980 Epoch 00169 | Loss 0.3584 | Accuracy 0.8040 Epoch 00170 | Loss 0.3156 | Accuracy 0.8020 Epoch 00171 | Loss 0.3417 | Accuracy 0.8000 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] Epoch 00172 | Loss 0.3523 | Accuracy 0.7960 Epoch 00173 | Loss 0.3766 | Accuracy 0.8000 Epoch 00174 | Loss 0.3556 | Accuracy 0.7960 Epoch 00175 | Loss 0.3509 | Accuracy 0.8020 Epoch 00176 | Loss 0.3397 | Accuracy 0.7980 Epoch 00177 | Loss 0.3755 | Accuracy 0.7920 Epoch 00178 | Loss 0.3616 | Accuracy 0.7940 Epoch 00179 | Loss 0.3542 | Accuracy 0.7960 Epoch 00180 | Loss 0.3456 | Accuracy 0.7960 Epoch 00181 | Loss 0.3414 | Accuracy 0.7980 Epoch 00182 | Loss 0.3388 | Accuracy 0.7980 Epoch 00183 | Loss 0.3053 | Accuracy 0.7980 Epoch 00184 | Loss 0.3010 | Accuracy 0.7960 Epoch 00185 | Loss 0.3339 | Accuracy 0.7960 Epoch 00186 | Loss 0.3121 | Accuracy 0.7880 Epoch 00187 | Loss 0.3326 | Accuracy 0.7880 Epoch 00188 | Loss 0.3381 | Accuracy 0.7900 Epoch 00189 | Loss 0.3267 | Accuracy 0.7880 Epoch 00190 | Loss 0.3340 | Accuracy 0.7880 Epoch 00191 | Loss 0.3218 | Accuracy 0.7900 Epoch 00192 | Loss 0.3229 | Accuracy 0.7980 Epoch 00193 | Loss 0.2956 | Accuracy 0.7940 Epoch 00194 | Loss 0.3186 | Accuracy 0.7960 Epoch 00195 | Loss 0.3167 | Accuracy 0.7960 Epoch 00196 | Loss 0.2909 | Accuracy 0.7940 Epoch 00197 | Loss 0.2998 | Accuracy 0.7940 Epoch 00198 | Loss 0.3010 | Accuracy 0.7960 Epoch 00199 | Loss 0.3035 | Accuracy 0.7940 Testing... Test accuracy 0.8030 PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int64] 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 [ 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] lda/lda_model.py:38: UserWarning: cached_property not found - using property instead warnings.warn("cached_property not found - using property instead") Testing LatentDirichletAllocation ... {'prior': {'doc': 0.1, 'word': 0.1}, 'rho': 1, 'mult': {'doc': 1, 'word': 1}, 'init': {'doc': (100.0, 100.0), 'word': (100.0, 100.0)}, 'word_data': [tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1491e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5629e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] [Pipeline] } PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) [Pipeline] sh PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cmake conda cora_v2 cora_v2.zip dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_updates[int64] [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@7e4bfd67; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] Fetching without tags PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] Merge succeeded, producing ae9c7f63b210663a72cb4ea09785b33c1e84064a Checking out Revision ae9c7f63b210663a72cb4ea09785b33c1e84064a (PR-4814) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814@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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f ae9c7f63b210663a72cb4ea09785b33c1e84064a # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 ae9c7f63b210663a72cb4ea09785b33c1e84064a # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 8%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 8%] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] [Pipeline] sh PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] + git submodule update --recursive --init PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] > git clean -fdx # timeout=10 Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] 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] 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 [ 54%] 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 [ 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%]Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] 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 [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] 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-u-v-shp3-g0] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' 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 [ 9%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_clone[int64] 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] 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' PASSED [ 9%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-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 [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%]PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] 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] 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' PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] 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 [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 10%] tests/compute/test_index.py::test_dlpack PASSED [ 10%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-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 [ 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] + bash tests/scripts/task_pytorch_tutorial_test.sh 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] 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-0.12.1-py3-none-any.whl (288 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 kB 8.0 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 18.9 MB/s eta 0:00:00 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] Preparing metadata (setup.py): started PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] 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] Preparing metadata (setup.py): finished with status 'done' Collecting graphviz Downloading graphviz-0.20.1-py3-none-any.whl (47 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.0/47.0 kB 8.8 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (1.1.5) Requirement already satisfied: rdflib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (6.2.0) Requirement already satisfied: typing-extensions in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from torch->-r requirements.txt (line 2)) (4.3.0) Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (21.3) Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (0.11.0) Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (9.2.0) Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (3.0.9) Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (2.8.2) Requirement already satisfied: kiwisolver>=1.0.1 in 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python-dateutil>=2.7->matplotlib->-r requirements.txt (line 5)) (1.16.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata->rdflib->-r requirements.txt (line 9)) (3.8.1) Building wheels for collected packages: pygraphviz Building wheel for pygraphviz (setup.py): started PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] Converting to homogeneous graph takes 0.015s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.022 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.833 GB PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] [10:32:38] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152506 edge cuts Metis partitioning: 0.228 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.252s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.025 seconds Split the graph: 0.065 seconds Construct subgraphs: 0.062 seconds Splitting the graph into partitions takes 0.152s, peak mem: 1.833 GB PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] part 0 has 9959 nodes of type n1 and 3134 are inside the partition part 0 has 9959 nodes of type n2 and 3145 are inside the partition part 0 has 9966 nodes of type n3 and 3141 are inside the partition part 0 has 47346 edges of type ('n1', 'r1', 'n2') and 31363 are inside the partition part 0 has 47796 edges of type ('n1', 'r2', 'n3') and 31230 are inside the partition part 0 has 47434 edges of type ('n2', 'r3', 'n3') and 31315 are inside the partition part 1 has 9977 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3439 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34315 are inside the partition part 1 has 51886 edges of type ('n1', 'r2', 'n3') and 34715 are inside the partition part 1 has 51820 edges of type ('n2', 'r3', 'n3') and 34469 are inside the partition part 2 has 9976 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3429 are inside the partition part 2 has 9992 nodes of type n3 and 3440 are inside the partition part 2 has 51784 edges of type ('n1', 'r1', 'n2') and 34422 are inside the partition part 2 has 51699 edges of type ('n1', 'r2', 'n3') and 34255 are inside the partition part 2 has 51809 edges of type ('n2', 'r3', 'n3') and 34516 are inside the partition Save partitions: 0.041 seconds, peak memory: 1.833 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 57%] 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] server: #clients=1 load test_sampling PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] start graph service on server 0 for part 0 [10:32:39] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:39] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21763]... 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] Building wheel for pygraphviz (setup.py): finished with status 'done' Created wheel for pygraphviz: filename=pygraphviz-1.7-cp37-cp37m-linux_x86_64.whl size=199310 sha256=9501d1fa06a584d99b02542bd5ef3dbd1331c1fd0810ca303cc1f1339bf1e27c Stored in directory: /root/.cache/pip/wheels/8c/bc/0c/ac35392b72556e75107ff610cb31b313e8471918a6d280e34c Successfully built pygraphviz Installing collected packages: pygraphviz, graphviz, seaborn Successfully installed graphviz-0.20.1 pygraphviz-1.7 seaborn-0.12.1 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 PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] Running tutorial ./multi/2_node_classification.py ... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [10:32:40] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:40] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21766]... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [10:32:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:32:41] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:21769]... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.5. 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 [ 10%] tests/compute/test_kernel.py::test_copy_edge_reduce Downloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip 0%| | 0/81 [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-4814/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: 10 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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:565: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/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-4814/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py: 10 warnings tests/compute/test_transform.py: 1 warning /root/jenkins/workspace/dgl_PR-4814/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-4814/python/dgl/data/graph_serialize.py:196: 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-4814/python/dgl/transforms/functional.py:1269: 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-4814/python/dgl/transforms/functional.py:1272: 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-4814/python/dgl/transforms/functional.py:1321: 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-4814/pytest_compute.xml -- ============================ slowest 100 durations ============================= 200.77s call tests/compute/test_kernel.py::test_all_binary_builtins 67.28s call tests/compute/test_data.py::test_reddit 52.82s call tests/compute/test_data.py::test_gin 33.28s call tests/compute/test_data.py::test_explain_syn 31.24s call tests/compute/test_data.py::test_fakenews 30.29s call tests/compute/test_data.py::test_as_graphpred 10.25s call tests/compute/test_data.py::test_tudataset_regression 10.04s call tests/compute/test_data.py::test_gnn_benchmark 8.78s call tests/compute/test_transform.py::test_metis_partition[idtype1] 7.26s call tests/compute/test_data.py::test_as_graphpred_reprocess 6.28s call tests/compute/test_heterograph.py::test_query[idtype0] 6.12s call tests/compute/test_graph.py::test_query 4.84s call tests/compute/test_heterograph.py::test_query[idtype1] 4.80s call tests/compute/test_kernel.py::test_copy_src_reduce 4.67s call tests/compute/test_kernel.py::test_copy_edge_reduce 4.41s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] 4.29s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] 4.29s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] 4.24s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] 3.81s call tests/compute/test_data.py::test_citation_graph 3.53s call tests/compute/test_data.py::test_fraud 3.27s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 2.95s call tests/compute/test_data.py::test_add_nodepred_split 2.92s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 2.83s call tests/compute/test_heterograph.py::test_updates[idtype1] 2.78s call tests/compute/test_heterograph.py::test_forking_pickler 2.59s call tests/compute/test_data.py::test_wiki_cs 2.58s call tests/compute/test_heterograph.py::test_updates[idtype0] 2.49s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 2.40s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 2.32s call tests/compute/test_heterograph.py::test_level2[idtype0] 2.18s call tests/compute/test_data.py::test_csvdataset 2.06s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 1.97s call tests/compute/test_heterograph.py::test_level2[idtype1] 1.96s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 1.92s call tests/compute/test_data.py::test_flickr 1.91s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.78s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 1.67s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 1.45s call tests/compute/test_transform.py::test_reorder_nodes 1.43s call tests/compute/test_subgraph.py::test_out_subgraph[idtype1] 1.43s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.31s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.30s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 1.27s call tests/compute/test_transform.py::test_partition_with_halo 1.24s call tests/compute/test_heterograph.py::test_format[idtype0] 1.21s call tests/compute/test_heterograph.py::test_format[idtype1] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] 1.20s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] 1.18s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 1.18s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 1.14s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] 1.13s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 1.12s call tests/compute/test_subgraph.py::test_in_subgraph[idtype0] 1.06s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] 1.06s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 1.06s call tests/compute/test_basics.py::test_update_routines[idtype1] 1.05s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] 1.03s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] 1.02s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 1.02s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] 1.01s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 1.00s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.00s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] 1.00s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] 0.99s call tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 0.96s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.96s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.94s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] 0.94s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.94s call tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] 0.93s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] 0.93s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.92s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] 0.92s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] 0.91s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] 0.91s call tests/compute/test_transform.py::test_khop_graph 0.90s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] 0.88s call tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] 0.86s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] 0.86s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] 0.86s call tests/compute/test_sampling.py::test_sample_neighbors_topk 0.86s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] ========= 2325 passed, 152 skipped, 250 warnings in 1127.51s (0:18:47) ========= 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 [10:35:59] /root/jenkins/workspace/dgl_PR-4814/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 5000 milliseconds. [10:35:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 5000 milliseconds. [10:35:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 1 role: default i: 0 role: default trainer rank: 0, global rank: 0 Client[3] in group[0] is exiting... trainer rank: 1, global rank: 1 Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... Client[5] in group[0] is exiting... Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... ============================= 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-4814 collecting ... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 25%] tests/distributed/test_partition.py::test_partition[None-True-1-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 25%] tests/distributed/test_partition.py::test_partition[None-True-1-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 26%] tests/distributed/test_partition.py::test_partition[None-True-1-1-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 26%] tests/distributed/test_partition.py::test_partition[None-True-1-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 27%] tests/distributed/test_partition.py::test_partition[None-True-1-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:04] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.833 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: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:04] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 27%] tests/distributed/test_partition.py::test_partition[None-True-1-4-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.833 GB part 0 has 665 nodes and 272 are inside the partition part 0 has 620 edges and 279 are inside the partition part 1 has 572 nodes and 233 are inside the partition part 1 has 512 edges and 223 are inside the partition part 2 has 604 nodes and 244 are inside the partition part 2 has 543 edges and 251 are inside the partition part 3 has 612 nodes and 251 are inside the partition part 3 has 567 edges and 247 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.010s, peak mem: 1.833 GB part 0 has 658 nodes of type n1 and 278 are inside the partition part 0 has 662 nodes of type n2 and 236 are inside the partition part 0 has 565 nodes of type n3 and 254 are inside the partition part 0 has 476 edges of type ('n1', 'r1', 'n2') and 263 are inside the partition part 0 has 468 edges of type ('n1', 'r2', 'n3') and 258 are inside the partition part 0 has 436 edges of type ('n2', 'r1', 'n1') and 275 are inside the partition part 0 has 445 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 1 has 641 nodes of type n1 and 224 are inside the partition part 1 has 629 nodes of type n2 and 259 are inside the partition part 1 has 540 nodes of type n3 and 270 are inside the partition part 1 has 417 edges of type ('n1', 'r1', 'n2') and 240 are inside the partition part 1 has 437 edges of type ('n1', 'r2', 'n3') and 278 are inside the partition part 1 has 454 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 1 has 433 edges of type ('n2', 'r3', 'n3') and 248 are inside the partition part 2 has 665 nodes of type n1 and 274 are inside the partition part 2 has 662 nodes of type n2 and 259 are inside the partition part 2 has 558 nodes of type n3 and 246 are inside the partition part 2 has 460 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 2 has 452 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 2 has 472 edges of type ('n2', 'r1', 'n1') and 278 are inside the partition part 2 has 457 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition part 3 has 612 nodes of type n1 and 224 are inside the partition part 3 has 607 nodes of type n2 and 256 are inside the partition part 3 has 563 nodes of type n3 and 250 are inside the partition part 3 has 413 edges of type ('n1', 'r1', 'n2') and 260 are inside the partition part 3 has 431 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 3 has 393 edges of type ('n2', 'r1', 'n1') and 206 are inside the partition part 3 has 435 edges of type ('n2', 'r3', 'n3') and 241 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 28%] tests/distributed/test_partition.py::test_partition[None-True-1-4-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:04] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:04] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 28%] tests/distributed/test_partition.py::test_partition[None-True-1-4-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 622 nodes and 261 are inside the partition part 0 has 559 edges and 252 are inside the partition part 1 has 655 nodes and 264 are inside the partition part 1 has 608 edges and 281 are inside the partition part 2 has 605 nodes and 248 are inside the partition part 2 has 554 edges and 253 are inside the partition part 3 has 580 nodes and 227 are inside the partition part 3 has 523 edges and 214 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.833 GB part 0 has 637 nodes of type n1 and 231 are inside the partition part 0 has 620 nodes of type n2 and 240 are inside the partition part 0 has 552 nodes of type n3 and 250 are inside the partition part 0 has 400 edges of type ('n1', 'r1', 'n2') and 218 are inside the partition part 0 has 433 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 427 edges of type ('n2', 'r1', 'n1') and 223 are inside the partition part 0 has 453 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition part 1 has 648 nodes of type n1 and 274 are inside the partition part 1 has 682 nodes of type n2 and 253 are inside the partition part 1 has 553 nodes of type n3 and 256 are inside the partition part 1 has 456 edges of type ('n1', 'r1', 'n2') and 256 are inside the partition part 1 has 443 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 1 has 488 edges of type ('n2', 'r1', 'n1') and 301 are inside the partition part 1 has 444 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 681 nodes of type n1 and 262 are inside the partition part 2 has 670 nodes of type n2 and 260 are inside the partition part 2 has 584 nodes of type n3 and 269 are inside the partition part 2 has 487 edges of type ('n1', 'r1', 'n2') and 275 are inside the partition part 2 has 445 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 464 edges of type ('n2', 'r1', 'n1') and 252 are inside the partition part 2 has 479 edges of type ('n2', 'r3', 'n3') and 269 are inside the partition part 3 has 644 nodes of type n1 and 233 are inside the partition part 3 has 651 nodes of type n2 and 257 are inside the partition part 3 has 536 nodes of type n3 and 245 are inside the partition part 3 has 419 edges of type ('n1', 'r1', 'n2') and 261 are inside the partition part 3 has 428 edges of type ('n1', 'r2', 'n3') and 258 are inside the partition part 3 has 408 edges of type ('n2', 'r1', 'n1') and 234 are inside the partition part 3 has 436 edges of type ('n2', 'r3', 'n3') and 243 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 29%] tests/distributed/test_partition.py::test_partition[None-True-4-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 29%] tests/distributed/test_partition.py::test_partition[None-True-4-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 30%] tests/distributed/test_partition.py::test_partition[None-True-4-1-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 30%] tests/distributed/test_partition.py::test_partition[None-True-4-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 31%] tests/distributed/test_partition.py::test_partition[None-True-4-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:06] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.018 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.021s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 31%] tests/distributed/test_partition.py::test_partition[None-True-4-4-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.833 GB part 0 has 589 nodes and 228 are inside the partition part 0 has 527 edges and 218 are inside the partition part 1 has 623 nodes and 248 are inside the partition part 1 has 572 edges and 259 are inside the partition part 2 has 640 nodes and 273 are inside the partition part 2 has 557 edges and 256 are inside the partition part 3 has 619 nodes and 251 are inside the partition part 3 has 573 edges and 267 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.010s, peak mem: 1.833 GB part 0 has 667 nodes of type n1 and 267 are inside the partition part 0 has 653 nodes of type n2 and 249 are inside the partition part 0 has 556 nodes of type n3 and 272 are inside the partition part 0 has 434 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 0 has 488 edges of type ('n1', 'r2', 'n3') and 288 are inside the partition part 0 has 460 edges of type ('n2', 'r1', 'n1') and 276 are inside the partition part 0 has 442 edges of type ('n2', 'r3', 'n3') and 280 are inside the partition part 1 has 645 nodes of type n1 and 257 are inside the partition part 1 has 654 nodes of type n2 and 263 are inside the partition part 1 has 550 nodes of type n3 and 234 are inside the partition part 1 has 479 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 410 edges of type ('n1', 'r2', 'n3') and 233 are inside the partition part 1 has 431 edges of type ('n2', 'r1', 'n1') and 250 are inside the partition part 1 has 463 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition part 2 has 644 nodes of type n1 and 250 are inside the partition part 2 has 660 nodes of type n2 and 260 are inside the partition part 2 has 550 nodes of type n3 and 258 are inside the partition part 2 has 430 edges of type ('n1', 'r1', 'n2') and 253 are inside the partition part 2 has 410 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 2 has 454 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 2 has 466 edges of type ('n2', 'r3', 'n3') and 264 are inside the partition part 3 has 618 nodes of type n1 and 226 are inside the partition part 3 has 624 nodes of type n2 and 238 are inside the partition part 3 has 562 nodes of type n3 and 256 are inside the partition part 3 has 432 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 3 has 454 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 3 has 422 edges of type ('n2', 'r1', 'n1') and 228 are inside the partition part 3 has 438 edges of type ('n2', 'r3', 'n3') and 240 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 32%] tests/distributed/test_partition.py::test_partition[None-True-4-4-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:06] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:06] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.018 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.020s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 32%] tests/distributed/test_partition.py::test_partition[None-True-4-4-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 634 nodes and 252 are inside the partition part 0 has 585 edges and 265 are inside the partition part 1 has 618 nodes and 255 are inside the partition part 1 has 558 edges and 249 are inside the partition part 2 has 624 nodes and 243 are inside the partition part 2 has 585 edges and 254 are inside the partition part 3 has 617 nodes and 250 are inside the partition part 3 has 555 edges and 232 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.010s, peak mem: 1.833 GB part 0 has 653 nodes of type n1 and 225 are inside the partition part 0 has 626 nodes of type n2 and 252 are inside the partition part 0 has 540 nodes of type n3 and 257 are inside the partition part 0 has 428 edges of type ('n1', 'r1', 'n2') and 279 are inside the partition part 0 has 436 edges of type ('n1', 'r2', 'n3') and 266 are inside the partition part 0 has 424 edges of type ('n2', 'r1', 'n1') and 233 are inside the partition part 0 has 424 edges of type ('n2', 'r3', 'n3') and 234 are inside the partition part 1 has 638 nodes of type n1 and 246 are inside the partition part 1 has 643 nodes of type n2 and 242 are inside the partition part 1 has 559 nodes of type n3 and 253 are inside the partition part 1 has 396 edges of type ('n1', 'r1', 'n2') and 222 are inside the partition part 1 has 453 edges of type ('n1', 'r2', 'n3') and 266 are inside the partition part 1 has 432 edges of type ('n2', 'r1', 'n1') and 245 are inside the partition part 1 has 446 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition part 2 has 658 nodes of type n1 and 247 are inside the partition part 2 has 685 nodes of type n2 and 276 are inside the partition part 2 has 562 nodes of type n3 and 262 are inside the partition part 2 has 470 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 2 has 440 edges of type ('n1', 'r2', 'n3') and 258 are inside the partition part 2 has 438 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 2 has 483 edges of type ('n2', 'r3', 'n3') and 285 are inside the partition part 3 has 632 nodes of type n1 and 282 are inside the partition part 3 has 685 nodes of type n2 and 240 are inside the partition part 3 has 573 nodes of type n3 and 248 are inside the partition part 3 has 464 edges of type ('n1', 'r1', 'n2') and 235 are inside the partition part 3 has 461 edges of type ('n1', 'r2', 'n3') and 230 are inside the partition part 3 has 465 edges of type ('n2', 'r1', 'n1') and 296 are inside the partition part 3 has 455 edges of type ('n2', 'r3', 'n3') and 261 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 33%] tests/distributed/test_partition.py::test_partition[None-False-1-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 33%] tests/distributed/test_partition.py::test_partition[None-False-1-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 34%] tests/distributed/test_partition.py::test_partition[None-False-1-1-False-metis] 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 34%] tests/distributed/test_partition.py::test_partition[None-False-1-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 35%] tests/distributed/test_partition.py::test_partition[None-False-1-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:07] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.833 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: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:07] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 35%] tests/distributed/test_partition.py::test_partition[None-False-1-4-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.833 GB part 0 has 626 nodes and 261 are inside the partition part 0 has 585 edges and 263 are inside the partition part 1 has 594 nodes and 224 are inside the partition part 1 has 516 edges and 221 are inside the partition part 2 has 630 nodes and 257 are inside the partition part 2 has 554 edges and 242 are inside the partition part 3 has 642 nodes and 258 are inside the partition part 3 has 600 edges and 274 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.010s, peak mem: 1.833 GB part 0 has 675 nodes of type n1 and 266 are inside the partition part 0 has 658 nodes of type n2 and 261 are inside the partition part 0 has 594 nodes of type n3 and 269 are inside the partition part 0 has 447 edges of type ('n1', 'r1', 'n2') and 253 are inside the partition part 0 has 463 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 0 has 459 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 0 has 469 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 639 nodes of type n1 and 225 are inside the partition part 1 has 644 nodes of type n2 and 254 are inside the partition part 1 has 532 nodes of type n3 and 241 are inside the partition part 1 has 426 edges of type ('n1', 'r1', 'n2') and 266 are inside the partition part 1 has 405 edges of type ('n1', 'r2', 'n3') and 247 are inside the partition part 1 has 429 edges of type ('n2', 'r1', 'n1') and 246 are inside the partition part 1 has 438 edges of type ('n2', 'r3', 'n3') and 233 are inside the partition part 2 has 641 nodes of type n1 and 268 are inside the partition part 2 has 661 nodes of type n2 and 241 are inside the partition part 2 has 560 nodes of type n3 and 269 are inside the partition part 2 has 457 edges of type ('n1', 'r1', 'n2') and 233 are inside the partition part 2 has 477 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 433 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 2 has 441 edges of type ('n2', 'r3', 'n3') and 290 are inside the partition part 3 has 658 nodes of type n1 and 241 are inside the partition part 3 has 633 nodes of type n2 and 254 are inside the partition part 3 has 542 nodes of type n3 and 241 are inside the partition part 3 has 439 edges of type ('n1', 'r1', 'n2') and 258 are inside the partition part 3 has 455 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 3 has 449 edges of type ('n2', 'r1', 'n1') and 248 are inside the partition part 3 has 444 edges of type ('n2', 'r3', 'n3') and 244 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 36%] tests/distributed/test_partition.py::test_partition[None-False-1-4-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 36%] tests/distributed/test_partition.py::test_partition[None-False-1-4-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 646 nodes and 274 are inside the partition part 0 has 594 edges and 245 are inside the partition part 1 has 616 nodes and 232 are inside the partition part 1 has 566 edges and 248 are inside the partition part 2 has 660 nodes and 268 are inside the partition part 2 has 610 edges and 281 are inside the partition part 3 has 580 nodes and 226 are inside the partition part 3 has 534 edges and 226 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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%]Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.833 GB part 0 has 641 nodes of type n1 and 231 are inside the partition part 0 has 644 nodes of type n2 and 270 are inside the partition part 0 has 542 nodes of type n3 and 252 are inside the partition part 0 has 435 edges of type ('n1', 'r1', 'n2') and 267 are inside the partition part 0 has 412 edges of type ('n1', 'r2', 'n3') and 230 are inside the partition part 0 has 441 edges of type ('n2', 'r1', 'n1') and 223 are inside the partition part 0 has 454 edges of type ('n2', 'r3', 'n3') and 261 are inside the partition part 1 has 665 nodes of type n1 and 275 are inside the partition part 1 has 659 nodes of type n2 and 240 are inside the partition part 1 has 559 nodes of type n3 and 264 are inside the partition part 1 has 469 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 503 edges of type ('n1', 'r2', 'n3') and 281 are inside the partition part 1 has 434 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 420 edges of type ('n2', 'r3', 'n3') and 253 are inside the partition part 2 has 664 nodes of type n1 and 247 are inside the partition part 2 has 659 nodes of type n2 and 276 are inside the partition part 2 has 557 nodes of type n3 and 252 are inside the partition part 2 has 437 edges of type ('n1', 'r1', 'n2') and 271 are inside the partition part 2 has 441 edges of type ('n1', 'r2', 'n3') and 265 are inside the partition part 2 has 474 edges of type ('n2', 'r1', 'n1') and 276 are inside the partition part 2 has 479 edges of type ('n2', 'r3', 'n3') and 251 are inside the partition part 3 has 617 nodes of type n1 and 247 are inside the partition part 3 has 653 nodes of type n2 and 224 are inside the partition part 3 has 545 nodes of type n3 and 252 are inside the partition part 3 has 424 edges of type ('n1', 'r1', 'n2') and 204 are inside the partition part 3 has 427 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 3 has 411 edges of type ('n2', 'r1', 'n1') and 250 are inside the partition part 3 has 444 edges of type ('n2', 'r3', 'n3') and 265 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 37%] tests/distributed/test_partition.py::test_partition[None-False-4-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 37%] tests/distributed/test_partition.py::test_partition[None-False-4-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:08] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 38%] tests/distributed/test_partition.py::test_partition[None-False-4-1-False-metis] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 38%] tests/distributed/test_partition.py::test_partition[None-False-4-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 39%] tests/distributed/test_partition.py::test_partition[None-False-4-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:09] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.018 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.020s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 40%] tests/distributed/test_partition.py::test_partition[None-False-4-4-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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: 1.833 GB part 0 has 619 nodes and 244 are inside the partition part 0 has 531 edges and 229 are inside the partition part 1 has 645 nodes and 265 are inside the partition part 1 has 614 edges and 288 are inside the partition part 2 has 632 nodes and 253 are inside the partition part 2 has 573 edges and 250 are inside the partition part 3 has 602 nodes and 238 are inside the partition part 3 has 545 edges and 233 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.009s, peak mem: 1.833 GB 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] part 0 has 609 nodes of type n1 and 240 are inside the partition part 0 has 606 nodes of type n2 and 218 are inside the partition part 0 has 531 nodes of type n3 and 233 are inside the partition part 0 has 406 edges of type ('n1', 'r1', 'n2') and 218 are inside the partition part 0 has 417 edges of type ('n1', 'r2', 'n3') and 217 are inside the partition part 0 has 419 edges of type ('n2', 'r1', 'n1') and 243 are inside the partition part 0 has 418 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition part 1 has 671 nodes of type n1 and 252 are inside the partition part 1 has 662 nodes of type n2 and 269 are inside the partition part 1 has 584 nodes of type n3 and 290 are inside the partition part 1 has 457 edges of type ('n1', 'r1', 'n2') and 269 are inside the partition part 1 has 482 edges of type ('n1', 'r2', 'n3') and 292 are inside the partition part 1 has 458 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 463 edges of type ('n2', 'r3', 'n3') and 277 are inside the partition part 2 has 640 nodes of type n1 and 262 are inside the partition part 2 has 668 nodes of type n2 and 245 are inside the partition part 2 has 575 nodes of type n3 and 276 are inside the partition part 2 has 451 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 2 has 474 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 2 has 446 edges of type ('n2', 'r1', 'n1') and 270 are inside the partition part 2 has 449 edges of type ('n2', 'r3', 'n3') and 283 are inside the partition part 3 has 666 nodes of type n1 and 246 are inside the partition part 3 has 632 nodes of type n2 and 278 are inside the partition part 3 has 542 nodes of type n3 and 221 are inside the partition part 3 has 441 edges of type ('n1', 'r1', 'n2') and 286 are inside the partition part 3 has 399 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 3 has 431 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 3 has 466 edges of type ('n2', 'r3', 'n3') and 224 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 40%] tests/distributed/test_partition.py::test_partition[None-False-4-4-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:10] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:10] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.018 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.020s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 41%] tests/distributed/test_partition.py::test_partition[None-False-4-4-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 625 nodes and 261 are inside the partition part 0 has 566 edges and 263 are inside the partition part 1 has 558 nodes and 209 are inside the partition part 1 has 507 edges and 228 are inside the partition part 2 has 602 nodes and 266 are inside the partition part 2 has 528 edges and 244 are inside the partition part 3 has 634 nodes and 264 are inside the partition part 3 has 602 edges and 265 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.009s, peak mem: 1.833 GB part 0 has 679 nodes of type n1 and 271 are inside the partition part 0 has 662 nodes of type n2 and 257 are inside the partition part 0 has 586 nodes of type n3 and 281 are inside the partition part 0 has 447 edges of type ('n1', 'r1', 'n2') and 259 are inside the partition part 0 has 471 edges of type ('n1', 'r2', 'n3') and 264 are inside the partition part 0 has 470 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 0 has 475 edges of type ('n2', 'r3', 'n3') and 294 are inside the partition part 1 has 645 nodes of type n1 and 256 are inside the partition part 1 has 672 nodes of type n2 and 253 are inside the partition part 1 has 568 nodes of type n3 and 244 are inside the partition part 1 has 447 edges of type ('n1', 'r1', 'n2') and 240 are inside the partition part 1 has 449 edges of type ('n1', 'r2', 'n3') and 248 are inside the partition part 1 has 480 edges of type ('n2', 'r1', 'n1') and 290 are inside the partition part 1 has 451 edges of type ('n2', 'r3', 'n3') and 244 are inside the partition part 2 has 649 nodes of type n1 and 239 are inside the partition part 2 has 661 nodes of type n2 and 259 are inside the partition part 2 has 557 nodes of type n3 and 270 are inside the partition part 2 has 461 edges of type ('n1', 'r1', 'n2') and 259 are inside the partition part 2 has 430 edges of type ('n1', 'r2', 'n3') and 269 are inside the partition part 2 has 422 edges of type ('n2', 'r1', 'n1') and 226 are inside the partition part 2 has 486 edges of type ('n2', 'r3', 'n3') and 285 are inside the partition part 3 has 640 nodes of type n1 and 234 are inside the partition part 3 has 637 nodes of type n2 and 241 are inside the partition part 3 has 521 nodes of type n3 and 225 are inside the partition part 3 has 444 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 3 has 412 edges of type ('n1', 'r2', 'n3') and 239 are inside the partition part 3 has 392 edges of type ('n2', 'r1', 'n1') and 227 are inside the partition part 3 has 408 edges of type ('n2', 'r3', 'n3') and 207 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 41%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-True-metis] 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 42%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 42%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 43%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 43%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:11] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 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: 1.833 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: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:11] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. 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] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 44%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.833 GB part 0 has 615 nodes and 246 are inside the partition part 0 has 561 edges and 248 are inside the partition part 1 has 623 nodes and 249 are inside the partition part 1 has 564 edges and 258 are inside the partition part 2 has 625 nodes and 265 are inside the partition part 2 has 567 edges and 262 are inside the partition part 3 has 596 nodes and 240 are inside the partition part 3 has 535 edges and 232 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.009s, peak mem: 1.833 GB part 0 has 626 nodes of type n1 and 239 are inside the partition part 0 has 646 nodes of type n2 and 242 are inside the partition part 0 has 541 nodes of type n3 and 268 are inside the partition part 0 has 421 edges of type ('n1', 'r1', 'n2') and 233 are inside the partition part 0 has 435 edges of type ('n1', 'r2', 'n3') and 276 are inside the partition part 0 has 427 edges of type ('n2', 'r1', 'n1') and 244 are inside the partition part 0 has 484 edges of type ('n2', 'r3', 'n3') and 296 are inside the partition part 1 has 652 nodes of type n1 and 245 are inside the partition part 1 has 639 nodes of type n2 and 254 are inside the partition part 1 has 575 nodes of type n3 and 260 are inside the partition part 1 has 430 edges of type ('n1', 'r1', 'n2') and 248 are inside the partition part 1 has 466 edges of type ('n1', 'r2', 'n3') and 256 are inside the partition part 1 has 441 edges of type ('n2', 'r1', 'n1') and 229 are inside the partition part 1 has 464 edges of type ('n2', 'r3', 'n3') and 273 are inside the partition part 2 has 652 nodes of type n1 and 242 are inside the partition part 2 has 641 nodes of type n2 and 253 are inside the partition part 2 has 563 nodes of type n3 and 246 are inside the partition part 2 has 452 edges of type ('n1', 'r1', 'n2') and 266 are inside the partition part 2 has 458 edges of type ('n1', 'r2', 'n3') and 249 are inside the partition part 2 has 461 edges of type ('n2', 'r1', 'n1') and 286 are inside the partition part 2 has 422 edges of type ('n2', 'r3', 'n3') and 226 are inside the partition part 3 has 653 nodes of type n1 and 274 are inside the partition part 3 has 662 nodes of type n2 and 261 are inside the partition part 3 has 535 nodes of type n3 and 246 are inside the partition part 3 has 461 edges of type ('n1', 'r1', 'n2') and 263 are inside the partition part 3 has 433 edges of type ('n1', 'r2', 'n3') and 239 are inside the partition part 3 has 429 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 3 has 422 edges of type ('n2', 'r3', 'n3') and 235 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 44%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-False-metis] 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:11] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 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: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:11] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 45%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 595 nodes and 248 are inside the partition part 0 has 550 edges and 257 are inside the partition part 1 has 583 nodes and 235 are inside the partition part 1 has 535 edges and 232 are inside the partition part 2 has 620 nodes and 269 are inside the partition part 2 has 550 edges and 242 are inside the partition part 3 has 600 nodes and 248 are inside the partition part 3 has 552 edges and 269 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.009s, peak mem: 1.833 GB part 0 has 656 nodes of type n1 and 252 are inside the partition part 0 has 655 nodes of type n2 and 252 are inside the partition part 0 has 549 nodes of type n3 and 238 are inside the partition part 0 has 476 edges of type ('n1', 'r1', 'n2') and 263 are inside the partition part 0 has 404 edges of type ('n1', 'r2', 'n3') and 207 are inside the partition part 0 has 466 edges of type ('n2', 'r1', 'n1') and 266 are inside the partition part 0 has 414 edges of type ('n2', 'r3', 'n3') and 231 are inside the partition part 1 has 653 nodes of type n1 and 234 are inside the partition part 1 has 649 nodes of type n2 and 272 are inside the partition part 1 has 574 nodes of type n3 and 273 are inside the partition part 1 has 436 edges of type ('n1', 'r1', 'n2') and 276 are inside the partition part 1 has 441 edges of type ('n1', 'r2', 'n3') and 274 are inside the partition part 1 has 448 edges of type ('n2', 'r1', 'n1') and 258 are inside the partition part 1 has 511 edges of type ('n2', 'r3', 'n3') and 292 are inside the partition part 2 has 674 nodes of type n1 and 276 are inside the partition part 2 has 654 nodes of type n2 and 259 are inside the partition part 2 has 581 nodes of type n3 and 259 are inside the partition part 2 has 477 edges of type ('n1', 'r1', 'n2') and 262 are inside the partition part 2 has 489 edges of type ('n1', 'r2', 'n3') and 272 are inside the partition part 2 has 426 edges of type ('n2', 'r1', 'n1') and 244 are inside the partition part 2 has 428 edges of type ('n2', 'r3', 'n3') and 241 are inside the partition part 3 has 636 nodes of type n1 and 238 are inside the partition part 3 has 636 nodes of type n2 and 227 are inside the partition part 3 has 523 nodes of type n3 and 250 are inside the partition part 3 has 392 edges of type ('n1', 'r1', 'n2') and 209 are inside the partition part 3 has 453 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 3 has 416 edges of type ('n2', 'r1', 'n1') and 242 are inside the partition part 3 has 430 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 45%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:11] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 46%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 46%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 47%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 47%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-True-metis] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 48%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 598 nodes and 244 are inside the partition part 0 has 533 edges and 229 are inside the partition part 1 has 604 nodes and 247 are inside the partition part 1 has 547 edges and 247 are inside the partition part 2 has 607 nodes and 248 are inside the partition part 2 has 558 edges and 252 are inside the partition part 3 has 652 nodes and 261 are inside the partition part 3 has 621 edges and 272 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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: 1.833 GB part 0 has 649 nodes of type n1 and 241 are inside the partition part 0 has 642 nodes of type n2 and 267 are inside the partition part 0 has 543 nodes of type n3 and 252 are inside the partition part 0 has 452 edges of type ('n1', 'r1', 'n2') and 287 are inside the partition part 0 has 415 edges of type ('n1', 'r2', 'n3') and 252 are inside the partition part 0 has 436 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 0 has 453 edges of type ('n2', 'r3', 'n3') and 256 are inside the partition part 1 has 656 nodes of type n1 and 234 are inside the partition part 1 has 644 nodes of type n2 and 256 are inside the partition part 1 has 525 nodes of type n3 and 250 are inside the partition part 1 has 405 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 1 has 437 edges of type ('n1', 'r2', 'n3') and 268 are inside the partition part 1 has 427 edges of type ('n2', 'r1', 'n1') and 235 are inside the partition part 1 has 408 edges of type ('n2', 'r3', 'n3') and 238 are inside the partition part 2 has 624 nodes of type n1 and 274 are inside the partition part 2 has 643 nodes of type n2 and 220 are inside the partition part 2 has 545 nodes of type n3 and 253 are inside the partition part 2 has 442 edges of type ('n1', 'r1', 'n2') and 231 are inside the partition part 2 has 461 edges of type ('n1', 'r2', 'n3') and 237 are inside the partition part 2 has 443 edges of type ('n2', 'r1', 'n1') and 280 are inside the partition part 2 has 438 edges of type ('n2', 'r3', 'n3') and 283 are inside the partition part 3 has 663 nodes of type n1 and 251 are inside the partition part 3 has 670 nodes of type n2 and 267 are inside the partition part 3 has 575 nodes of type n3 and 265 are inside the partition part 3 has 463 edges of type ('n1', 'r1', 'n2') and 255 are inside the partition part 3 has 446 edges of type ('n1', 'r2', 'n3') and 263 are inside the partition part 3 has 474 edges of type ('n2', 'r1', 'n1') and 259 are inside the partition part 3 has 480 edges of type ('n2', 'r3', 'n3') and 253 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 48%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:12] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds 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] Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 49%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 611 nodes and 246 are inside the partition part 0 has 552 edges and 249 are inside the partition part 1 has 635 nodes and 265 are inside the partition part 1 has 603 edges and 279 are inside the partition part 2 has 619 nodes and 255 are inside the partition part 2 has 564 edges and 248 are inside the partition part 3 has 587 nodes and 234 are inside the partition part 3 has 512 edges and 224 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 651 nodes of type n1 and 246 are inside the partition part 0 has 650 nodes of type n2 and 262 are inside the partition part 0 has 565 nodes of type n3 and 250 are inside the partition part 0 has 439 edges of type ('n1', 'r1', 'n2') and 271 are inside the partition part 0 has 435 edges of type ('n1', 'r2', 'n3') and 240 are inside the partition part 0 has 446 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 0 has 450 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 1 has 663 nodes of type n1 and 256 are inside the partition part 1 has 655 nodes of type n2 and 261 are inside the partition part 1 has 568 nodes of type n3 and 230 are inside the partition part 1 has 474 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 1 has 456 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 1 has 455 edges of type ('n2', 'r1', 'n1') and 258 are inside the partition part 1 has 444 edges of type ('n2', 'r3', 'n3') and 228 are inside the partition part 2 has 624 nodes of type n1 and 251 are inside the partition part 2 has 633 nodes of type n2 and 240 are inside the partition part 2 has 559 nodes of type n3 and 265 are inside the partition part 2 has 403 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 2 has 425 edges of type ('n1', 'r2', 'n3') and 247 are inside the partition part 2 has 418 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 2 has 463 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition part 3 has 645 nodes of type n1 and 247 are inside the partition part 3 has 665 nodes of type n2 and 247 are inside the partition part 3 has 576 nodes of type n3 and 275 are inside the partition part 3 has 443 edges of type ('n1', 'r1', 'n2') and 236 are inside the partition part 3 has 481 edges of type ('n1', 'r2', 'n3') and 283 are inside the partition part 3 has 434 edges of type ('n2', 'r1', 'n1') and 250 are inside the partition part 3 has 457 edges of type ('n2', 'r3', 'n3') and 278 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 49%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 50%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 50%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 51%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 51%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:13] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 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: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:13] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 52%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 601 nodes and 255 are inside the partition part 0 has 540 edges and 229 are inside the partition part 1 has 582 nodes and 224 are inside the partition part 1 has 524 edges and 234 are inside the partition part 2 has 669 nodes and 264 are inside the partition part 2 has 638 edges and 289 are inside the partition part 3 has 611 nodes and 257 are inside the partition part 3 has 541 edges and 248 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 633 nodes of type n1 and 271 are inside the partition part 0 has 657 nodes of type n2 and 233 are inside the partition part 0 has 566 nodes of type n3 and 248 are inside the partition part 0 has 463 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 0 has 452 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 0 has 413 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 0 has 453 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 1 has 644 nodes of type n1 and 235 are inside the partition part 1 has 631 nodes of type n2 and 242 are inside the partition part 1 has 532 nodes of type n3 and 241 are inside the partition part 1 has 399 edges of type ('n1', 'r1', 'n2') and 230 are inside the partition part 1 has 451 edges of type ('n1', 'r2', 'n3') and 261 are inside the partition part 1 has 445 edges of type ('n2', 'r1', 'n1') and 252 are inside the partition part 1 has 428 edges of type ('n2', 'r3', 'n3') and 239 are inside the partition part 2 has 666 nodes of type n1 and 243 are inside the partition part 2 has 680 nodes of type n2 and 279 are inside the partition part 2 has 550 nodes of type n3 and 256 are inside the partition part 2 has 464 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 2 has 424 edges of type ('n1', 'r2', 'n3') and 254 are inside the partition part 2 has 488 edges of type ('n2', 'r1', 'n1') and 269 are inside the partition part 2 has 472 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 651 nodes of type n1 and 251 are inside the partition part 3 has 660 nodes of type n2 and 256 are inside the partition part 3 has 571 nodes of type n3 and 275 are inside the partition part 3 has 438 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 3 has 468 edges of type ('n1', 'r2', 'n3') and 269 are inside the partition part 3 has 427 edges of type ('n2', 'r1', 'n1') and 233 are inside the partition part 3 has 450 edges of type ('n2', 'r3', 'n3') and 269 are inside the partition PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 52%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 53%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 607 nodes and 252 are inside the partition part 0 has 537 edges and 235 are inside the partition part 1 has 621 nodes and 243 are inside the partition part 1 has 568 edges and 250 are inside the partition part 2 has 614 nodes and 247 are inside the partition part 2 has 559 edges and 253 are inside the partition part 3 has 629 nodes and 258 are inside the partition part 3 has 582 edges and 262 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 624 nodes of type n1 and 250 are inside the partition part 0 has 656 nodes of type n2 and 229 are inside the partition part 0 has 544 nodes of type n3 and 259 are inside the partition part 0 has 412 edges of type ('n1', 'r1', 'n2') and 215 are inside the partition part 0 has 455 edges of type ('n1', 'r2', 'n3') and 265 are inside the partition part 0 has 438 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 0 has 418 edges of type ('n2', 'r3', 'n3') and 248 are inside the partition part 1 has 687 nodes of type n1 and 253 are inside the partition part 1 has 657 nodes of type n2 and 262 are inside the partition part 1 has 570 nodes of type n3 and 251 are inside the partition part 1 has 485 edges of type ('n1', 'r1', 'n2') and 289 are inside the partition part 1 has 471 edges of type ('n1', 'r2', 'n3') and 280 are inside the partition part 1 has 461 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 1 has 465 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition part 2 has 614 nodes of type n1 and 238 are inside the partition part 2 has 647 nodes of type n2 and 256 are inside the partition part 2 has 555 nodes of type n3 and 259 are inside the partition part 2 has 413 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 2 has 425 edges of type ('n1', 'r2', 'n3') and 229 are inside the partition part 2 has 454 edges of type ('n2', 'r1', 'n1') and 272 are inside the partition part 2 has 458 edges of type ('n2', 'r3', 'n3') and 280 are inside the partition part 3 has 643 nodes of type n1 and 259 are inside the partition part 3 has 651 nodes of type n2 and 263 are inside the partition part 3 has 540 nodes of type n3 and 251 are inside the partition part 3 has 451 edges of type ('n1', 'r1', 'n2') and 264 are inside the partition part 3 has 450 edges of type ('n1', 'r2', 'n3') and 246 are inside the partition part 3 has 421 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 3 has 441 edges of type ('n2', 'r3', 'n3') and 256 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 53%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. 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] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 54%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 54%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 55%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 55%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:14] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:15] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 56%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 652 nodes and 256 are inside the partition part 0 has 604 edges and 284 are inside the partition part 1 has 610 nodes and 247 are inside the partition part 1 has 545 edges and 240 are inside the partition part 2 has 611 nodes and 245 are inside the partition part 2 has 544 edges and 232 are inside the partition part 3 has 620 nodes and 252 are inside the partition part 3 has 561 edges and 244 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 627 nodes of type n1 and 237 are inside the partition part 0 has 653 nodes of type n2 and 249 are inside the partition part 0 has 569 nodes of type n3 and 273 are inside the partition part 0 has 416 edges of type ('n1', 'r1', 'n2') and 239 are inside the partition part 0 has 445 edges of type ('n1', 'r2', 'n3') and 256 are inside the partition part 0 has 437 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 0 has 460 edges of type ('n2', 'r3', 'n3') and 282 are inside the partition part 1 has 657 nodes of type n1 and 277 are inside the partition part 1 has 654 nodes of type n2 and 261 are inside the partition part 1 has 561 nodes of type n3 and 228 are inside the partition part 1 has 428 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 1 has 448 edges of type ('n1', 'r2', 'n3') and 200 are inside the partition part 1 has 458 edges of type ('n2', 'r1', 'n1') and 280 are inside the partition part 1 has 433 edges of type ('n2', 'r3', 'n3') and 229 are inside the partition part 2 has 685 nodes of type n1 and 253 are inside the partition part 2 has 639 nodes of type n2 and 259 are inside the partition part 2 has 547 nodes of type n3 and 263 are inside the partition part 2 has 478 edges of type ('n1', 'r1', 'n2') and 291 are inside the partition part 2 has 465 edges of type ('n1', 'r2', 'n3') and 292 are inside the partition part 2 has 451 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 2 has 468 edges of type ('n2', 'r3', 'n3') and 270 are inside the partition part 3 has 636 nodes of type n1 and 233 are inside the partition part 3 has 637 nodes of type n2 and 241 are inside the partition part 3 has 547 nodes of type n3 and 256 are inside the partition part 3 has 434 edges of type ('n1', 'r1', 'n2') and 230 are inside the partition part 3 has 440 edges of type ('n1', 'r2', 'n3') and 272 are inside the partition part 3 has 403 edges of type ('n2', 'r1', 'n1') and 221 are inside the partition part 3 has 429 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. 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] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 56%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:15] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:15] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 57%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 581 nodes and 234 are inside the partition part 0 has 520 edges and 233 are inside the partition part 1 has 590 nodes and 227 are inside the partition part 1 has 549 edges and 239 are inside the partition part 2 has 625 nodes and 272 are inside the partition part 2 has 568 edges and 255 are inside the partition part 3 has 652 nodes and 267 are inside the partition part 3 has 578 edges and 273 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 634 nodes of type n1 and 250 are inside the partition part 0 has 631 nodes of type n2 and 229 are inside the partition part 0 has 542 nodes of type n3 and 271 are inside the partition part 0 has 412 edges of type ('n1', 'r1', 'n2') and 217 are inside the partition part 0 has 471 edges of type ('n1', 'r2', 'n3') and 286 are inside the partition part 0 has 407 edges of type ('n2', 'r1', 'n1') and 233 are inside the partition part 0 has 426 edges of type ('n2', 'r3', 'n3') and 276 are inside the partition part 1 has 649 nodes of type n1 and 238 are inside the partition part 1 has 647 nodes of type n2 and 243 are inside the partition part 1 has 531 nodes of type n3 and 260 are inside the partition part 1 has 428 edges of type ('n1', 'r1', 'n2') and 260 are inside the partition part 1 has 426 edges of type ('n1', 'r2', 'n3') and 271 are inside the partition part 1 has 437 edges of type ('n2', 'r1', 'n1') and 252 are inside the partition part 1 has 440 edges of type ('n2', 'r3', 'n3') and 259 are inside the partition part 2 has 645 nodes of type n1 and 247 are inside the partition part 2 has 660 nodes of type n2 and 271 are inside the partition part 2 has 548 nodes of type n3 and 244 are inside the partition part 2 has 458 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 2 has 435 edges of type ('n1', 'r2', 'n3') and 235 are inside the partition part 2 has 442 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 2 has 443 edges of type ('n2', 'r3', 'n3') and 241 are inside the partition part 3 has 670 nodes of type n1 and 265 are inside the partition part 3 has 665 nodes of type n2 and 267 are inside the partition part 3 has 556 nodes of type n3 and 245 are inside the partition part 3 has 472 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 3 has 432 edges of type ('n1', 'r2', 'n3') and 228 are inside the partition part 3 has 478 edges of type ('n2', 'r1', 'n1') and 274 are inside the partition part 3 has 452 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 57%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. 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] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 58%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 58%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 59%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-False-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 60%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:16] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 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: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:16] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 60%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 661 nodes and 266 are inside the partition part 0 has 609 edges and 282 are inside the partition part 1 has 570 nodes and 231 are inside the partition part 1 has 499 edges and 208 are inside the partition part 2 has 657 nodes and 269 are inside the partition part 2 has 616 edges and 285 are inside the partition part 3 has 599 nodes and 234 are inside the partition part 3 has 532 edges and 225 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 641 nodes of type n1 and 248 are inside the partition part 0 has 646 nodes of type n2 and 252 are inside the partition part 0 has 549 nodes of type n3 and 254 are inside the partition part 0 has 451 edges of type ('n1', 'r1', 'n2') and 258 are inside the partition part 0 has 479 edges of type ('n1', 'r2', 'n3') and 274 are inside the partition part 0 has 441 edges of type ('n2', 'r1', 'n1') and 260 are inside the partition part 0 has 421 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition part 1 has 659 nodes of type n1 and 264 are inside the partition part 1 has 660 nodes of type n2 and 249 are inside the partition part 1 has 571 nodes of type n3 and 239 are inside the partition part 1 has 456 edges of type ('n1', 'r1', 'n2') and 251 are inside the partition part 1 has 436 edges of type ('n1', 'r2', 'n3') and 219 are inside the partition part 1 has 448 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 1 has 460 edges of type ('n2', 'r3', 'n3') and 244 are inside the partition part 2 has 621 nodes of type n1 and 221 are inside the partition part 2 has 616 nodes of type n2 and 249 are inside the partition part 2 has 523 nodes of type n3 and 248 are inside the partition part 2 has 416 edges of type ('n1', 'r1', 'n2') and 254 are inside the partition part 2 has 395 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 2 has 411 edges of type ('n2', 'r1', 'n1') and 213 are inside the partition part 2 has 445 edges of type ('n2', 'r3', 'n3') and 259 are inside the partition part 3 has 664 nodes of type n1 and 267 are inside the partition part 3 has 698 nodes of type n2 and 260 are inside the partition part 3 has 587 nodes of type n3 and 279 are inside the partition part 3 has 450 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 3 has 468 edges of type ('n1', 'r2', 'n3') and 277 are inside the partition part 3 has 472 edges of type ('n2', 'r1', 'n1') and 284 are inside the partition part 3 has 486 edges of type ('n2', 'r3', 'n3') and 280 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 61%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-False-metis] 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] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:16] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:16] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 61%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 586 nodes and 243 are inside the partition part 0 has 532 edges and 237 are inside the partition part 1 has 610 nodes and 248 are inside the partition part 1 has 543 edges and 231 are inside the partition part 2 has 639 nodes and 268 are inside the partition part 2 has 593 edges and 272 are inside the partition part 3 has 605 nodes and 241 are inside the partition part 3 has 569 edges and 260 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 663 nodes of type n1 and 247 are inside the partition part 0 has 654 nodes of type n2 and 260 are inside the partition part 0 has 582 nodes of type n3 and 254 are inside the partition part 0 has 444 edges of type ('n1', 'r1', 'n2') and 254 are inside the partition part 0 has 462 edges of type ('n1', 'r2', 'n3') and 246 are inside the partition part 0 has 445 edges of type ('n2', 'r1', 'n1') and 237 are inside the partition part 0 has 467 edges of type ('n2', 'r3', 'n3') and 256 are inside the partition part 1 has 622 nodes of type n1 and 258 are inside the partition part 1 has 655 nodes of type n2 and 253 are inside the partition part 1 has 560 nodes of type n3 and 232 are inside the partition part 1 has 459 edges of type ('n1', 'r1', 'n2') and 238 are inside the partition part 1 has 425 edges of type ('n1', 'r2', 'n3') and 222 are inside the partition part 1 has 439 edges of type ('n2', 'r1', 'n1') and 266 are inside the partition part 1 has 424 edges of type ('n2', 'r3', 'n3') and 216 are inside the partition part 2 has 646 nodes of type n1 and 246 are inside the partition part 2 has 628 nodes of type n2 and 246 are inside the partition part 2 has 566 nodes of type n3 and 270 are inside the partition part 2 has 435 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 2 has 456 edges of type ('n1', 'r2', 'n3') and 270 are inside the partition part 2 has 434 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 2 has 461 edges of type ('n2', 'r3', 'n3') and 284 are inside the partition part 3 has 670 nodes of type n1 and 249 are inside the partition part 3 has 652 nodes of type n2 and 251 are inside the partition part 3 has 548 nodes of type n3 and 264 are inside the partition part 3 has 434 edges of type ('n1', 'r1', 'n2') and 244 are inside the partition part 3 has 453 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 3 has 438 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 3 has 466 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 62%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:16] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 62%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 63%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 63%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-False-random] 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%]Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 64%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB 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] [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 64%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 644 nodes and 257 are inside the partition part 0 has 614 edges and 262 are inside the partition part 1 has 588 nodes and 239 are inside the partition part 1 has 539 edges and 232 are inside the partition part 2 has 623 nodes and 252 are inside the partition part 2 has 577 edges and 254 are inside the partition part 3 has 638 nodes and 252 are inside the partition part 3 has 572 edges and 252 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 656 nodes of type n1 and 285 are inside the partition part 0 has 702 nodes of type n2 and 252 are inside the partition part 0 has 577 nodes of type n3 and 268 are inside the partition part 0 has 478 edges of type ('n1', 'r1', 'n2') and 248 are inside the partition part 0 has 470 edges of type ('n1', 'r2', 'n3') and 258 are inside the partition part 0 has 481 edges of type ('n2', 'r1', 'n1') and 291 are inside the partition part 0 has 453 edges of type ('n2', 'r3', 'n3') and 271 are inside the partition part 1 has 655 nodes of type n1 and 237 are inside the partition part 1 has 636 nodes of type n2 and 248 are inside the partition part 1 has 548 nodes of type n3 and 245 are inside the partition part 1 has 421 edges of type ('n1', 'r1', 'n2') and 241 are inside the partition part 1 has 450 edges of type ('n1', 'r2', 'n3') and 271 are inside the partition part 1 has 430 edges of type ('n2', 'r1', 'n1') and 240 are inside the partition part 1 has 450 edges of type ('n2', 'r3', 'n3') and 260 are inside the partition part 2 has 656 nodes of type n1 and 220 are inside the partition part 2 has 621 nodes of type n2 and 265 are inside the partition part 2 has 538 nodes of type n3 and 242 are inside the partition part 2 has 457 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 2 has 392 edges of type ('n1', 'r2', 'n3') and 232 are inside the partition part 2 has 419 edges of type ('n2', 'r1', 'n1') and 219 are inside the partition part 2 has 441 edges of type ('n2', 'r3', 'n3') and 221 are inside the partition part 3 has 660 nodes of type n1 and 258 are inside the partition part 3 has 648 nodes of type n2 and 245 are inside the partition part 3 has 570 nodes of type n3 and 265 are inside the partition part 3 has 419 edges of type ('n1', 'r1', 'n2') and 240 are inside the partition part 3 has 476 edges of type ('n1', 'r2', 'n3') and 259 are inside the partition part 3 has 443 edges of type ('n2', 'r1', 'n1') and 260 are inside the partition part 3 has 455 edges of type ('n2', 'r3', 'n3') and 278 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 65%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-False-metis] 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:17] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:18] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 65%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 645 nodes and 258 are inside the partition part 0 has 604 edges and 270 are inside the partition part 1 has 618 nodes and 250 are inside the partition part 1 has 556 edges and 245 are inside the partition part 2 has 642 nodes and 262 are inside the partition part 2 has 587 edges and 263 are inside the partition part 3 has 579 nodes and 230 are inside the partition part 3 has 510 edges and 222 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. 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] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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: 1.833 GB part 0 has 659 nodes of type n1 and 242 are inside the partition part 0 has 675 nodes of type n2 and 272 are inside the partition part 0 has 566 nodes of type n3 and 261 are inside the partition part 0 has 459 edges of type ('n1', 'r1', 'n2') and 269 are inside the partition part 0 has 430 edges of type ('n1', 'r2', 'n3') and 262 are inside the partition part 0 has 450 edges of type ('n2', 'r1', 'n1') and 248 are inside the partition part 0 has 485 edges of type ('n2', 'r3', 'n3') and 265 are inside the partition part 1 has 622 nodes of type n1 and 233 are inside the partition part 1 has 621 nodes of type n2 and 242 are inside the partition part 1 has 549 nodes of type n3 and 237 are inside the partition part 1 has 400 edges of type ('n1', 'r1', 'n2') and 246 are inside the partition part 1 has 432 edges of type ('n1', 'r2', 'n3') and 230 are inside the partition part 1 has 412 edges of type ('n2', 'r1', 'n1') and 220 are inside the partition part 1 has 449 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 2 has 674 nodes of type n1 and 274 are inside the partition part 2 has 664 nodes of type n2 and 247 are inside the partition part 2 has 578 nodes of type n3 and 268 are inside the partition part 2 has 444 edges of type ('n1', 'r1', 'n2') and 240 are inside the partition part 2 has 485 edges of type ('n1', 'r2', 'n3') and 281 are inside the partition part 2 has 472 edges of type ('n2', 'r1', 'n1') and 282 are inside the partition part 2 has 446 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 3 has 645 nodes of type n1 and 251 are inside the partition part 3 has 656 nodes of type n2 and 249 are inside the partition part 3 has 553 nodes of type n3 and 254 are inside the partition part 3 has 453 edges of type ('n1', 'r1', 'n2') and 255 are inside the partition part 3 has 441 edges of type ('n1', 'r2', 'n3') and 247 are inside the partition part 3 has 443 edges of type ('n2', 'r1', 'n1') and 260 are inside the partition part 3 has 419 edges of type ('n2', 'r3', 'n3') and 253 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 66%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 66%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB 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] Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 67%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 67%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 68%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:18] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 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: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:18] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 68%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 664 nodes and 270 are inside the partition part 0 has 617 edges and 292 are inside the partition part 1 has 590 nodes and 231 are inside the partition part 1 has 533 edges and 221 are inside the partition part 2 has 593 nodes and 240 are inside the partition part 2 has 522 edges and 231 are inside the partition part 3 has 635 nodes and 259 are inside the partition part 3 has 585 edges and 256 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 651 nodes of type n1 and 263 are inside the partition part 0 has 676 nodes of type n2 and 242 are inside the partition part 0 has 558 nodes of type n3 and 248 are inside the partition part 0 has 459 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 0 has 462 edges of type ('n1', 'r2', 'n3') and 246 are inside the partition part 0 has 438 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 0 has 449 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 1 has 646 nodes of type n1 and 241 are inside the partition part 1 has 660 nodes of type n2 and 268 are inside the partition part 1 has 561 nodes of type n3 and 259 are inside the partition part 1 has 438 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 436 edges of type ('n1', 'r2', 'n3') and 261 are inside the partition part 1 has 438 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 1 has 462 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 2 has 672 nodes of type n1 and 239 are inside the partition part 2 has 649 nodes of type n2 and 258 are inside the partition part 2 has 556 nodes of type n3 and 270 are inside the partition part 2 has 449 edges of type ('n1', 'r1', 'n2') and 265 are inside the partition part 2 has 443 edges of type ('n1', 'r2', 'n3') and 275 are inside the partition part 2 has 439 edges of type ('n2', 'r1', 'n1') and 233 are inside the partition part 2 has 460 edges of type ('n2', 'r3', 'n3') and 265 are inside the partition part 3 has 636 nodes of type n1 and 257 are inside the partition part 3 has 657 nodes of type n2 and 242 are inside the partition part 3 has 559 nodes of type n3 and 243 are inside the partition part 3 has 430 edges of type ('n1', 'r1', 'n2') and 230 are inside the partition part 3 has 454 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 3 has 448 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 433 edges of type ('n2', 'r3', 'n3') and 237 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 69%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 69%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 635 nodes and 270 are inside the partition part 0 has 569 edges and 257 are inside the partition part 1 has 592 nodes and 246 are inside the partition part 1 has 547 edges and 241 are inside the partition part 2 has 628 nodes and 248 are inside the partition part 2 has 591 edges and 256 are inside the partition part 3 has 592 nodes and 236 are inside the partition part 3 has 540 edges and 246 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 640 nodes of type n1 and 255 are inside the partition part 0 has 660 nodes of type n2 and 252 are inside the partition part 0 has 563 nodes of type n3 and 238 are inside the partition part 0 has 434 edges of type ('n1', 'r1', 'n2') and 239 are inside the partition part 0 has 439 edges of type ('n1', 'r2', 'n3') and 221 are inside the partition part 0 has 444 edges of type ('n2', 'r1', 'n1') and 268 are inside the partition part 0 has 452 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition part 1 has 650 nodes of type n1 and 258 are inside the partition part 1 has 650 nodes of type n2 and 252 are inside the partition part 1 has 569 nodes of type n3 and 253 are inside the partition part 1 has 447 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 1 has 444 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 1 has 423 edges of type ('n2', 'r1', 'n1') and 234 are inside the partition part 1 has 446 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition part 2 has 654 nodes of type n1 and 242 are inside the partition part 2 has 644 nodes of type n2 and 250 are inside the partition part 2 has 561 nodes of type n3 and 262 are inside the partition part 2 has 451 edges of type ('n1', 'r1', 'n2') and 269 are inside the partition part 2 has 440 edges of type ('n1', 'r2', 'n3') and 270 are inside the partition part 2 has 443 edges of type ('n2', 'r1', 'n1') and 244 are inside the partition part 2 has 451 edges of type ('n2', 'r3', 'n3') and 248 are inside the partition part 3 has 673 nodes of type n1 and 245 are inside the partition part 3 has 678 nodes of type n2 and 256 are inside the partition part 3 has 554 nodes of type n3 and 267 are inside the partition part 3 has 455 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 3 has 467 edges of type ('n1', 'r2', 'n3') and 291 are inside the partition part 3 has 460 edges of type ('n2', 'r1', 'n1') and 264 are inside the partition part 3 has 463 edges of type ('n2', 'r3', 'n3') and 289 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 70%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 70%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 71%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 71%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:19] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.002 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 72%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-True-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 72%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 600 nodes and 240 are inside the partition part 0 has 527 edges and 228 are inside the partition part 1 has 661 nodes and 271 are inside the partition part 1 has 613 edges and 281 are inside the partition part 2 has 619 nodes and 251 are inside the partition part 2 has 559 edges and 248 are inside the partition part 3 has 595 nodes and 238 are inside the partition part 3 has 545 edges and 243 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 674 nodes of type n1 and 225 are inside the partition part 0 has 611 nodes of type n2 and 265 are inside the partition part 0 has 546 nodes of type n3 and 234 are inside the partition part 0 has 426 edges of type ('n1', 'r1', 'n2') and 280 are inside the partition part 0 has 410 edges of type ('n1', 'r2', 'n3') and 227 are inside the partition part 0 has 458 edges of type ('n2', 'r1', 'n1') and 235 are inside the partition part 0 has 458 edges of type ('n2', 'r3', 'n3') and 251 are inside the partition part 1 has 642 nodes of type n1 and 280 are inside the partition part 1 has 661 nodes of type n2 and 242 are inside the partition part 1 has 562 nodes of type n3 and 259 are inside the partition part 1 has 435 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 1 has 465 edges of type ('n1', 'r2', 'n3') and 276 are inside the partition part 1 has 436 edges of type ('n2', 'r1', 'n1') and 278 are inside the partition part 1 has 446 edges of type ('n2', 'r3', 'n3') and 260 are inside the partition part 2 has 613 nodes of type n1 and 247 are inside the partition part 2 has 632 nodes of type n2 and 246 are inside the partition part 2 has 570 nodes of type n3 and 265 are inside the partition part 2 has 423 edges of type ('n1', 'r1', 'n2') and 230 are inside the partition part 2 has 451 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 2 has 438 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 2 has 451 edges of type ('n2', 'r3', 'n3') and 248 are inside the partition part 3 has 633 nodes of type n1 and 248 are inside the partition part 3 has 656 nodes of type n2 and 257 are inside the partition part 3 has 552 nodes of type n3 and 262 are inside the partition part 3 has 462 edges of type ('n1', 'r1', 'n2') and 271 are inside the partition part 3 has 457 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 3 has 414 edges of type ('n2', 'r1', 'n1') and 241 are inside the partition part 3 has 441 edges of type ('n2', 'r3', 'n3') and 271 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 73%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-False-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:20] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.016s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 73%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 635 nodes and 266 are inside the partition part 0 has 570 edges and 246 are inside the partition part 1 has 655 nodes and 256 are inside the partition part 1 has 597 edges and 268 are inside the partition part 2 has 596 nodes and 231 are inside the partition part 2 has 547 edges and 238 are inside the partition part 3 has 618 nodes and 247 are inside the partition part 3 has 562 edges and 248 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 628 nodes of type n1 and 240 are inside the partition part 0 has 648 nodes of type n2 and 251 are inside the partition part 0 has 530 nodes of type n3 and 232 are inside the partition part 0 has 435 edges of type ('n1', 'r1', 'n2') and 244 are inside the partition part 0 has 412 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 0 has 442 edges of type ('n2', 'r1', 'n1') and 258 are inside the partition part 0 has 463 edges of type ('n2', 'r3', 'n3') and 267 are inside the partition part 1 has 661 nodes of type n1 and 241 are inside the partition part 1 has 627 nodes of type n2 and 266 are inside the partition part 1 has 536 nodes of type n3 and 240 are inside the partition part 1 has 450 edges of type ('n1', 'r1', 'n2') and 284 are inside the partition part 1 has 426 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 1 has 450 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 417 edges of type ('n2', 'r3', 'n3') and 227 are inside the partition part 2 has 631 nodes of type n1 and 269 are inside the partition part 2 has 675 nodes of type n2 and 248 are inside the partition part 2 has 583 nodes of type n3 and 258 are inside the partition part 2 has 466 edges of type ('n1', 'r1', 'n2') and 243 are inside the partition part 2 has 462 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 2 has 447 edges of type ('n2', 'r1', 'n1') and 287 are inside the partition part 2 has 431 edges of type ('n2', 'r3', 'n3') and 239 are inside the partition part 3 has 645 nodes of type n1 and 250 are inside the partition part 3 has 664 nodes of type n2 and 245 are inside the partition part 3 has 577 nodes of type n3 and 290 are inside the partition part 3 has 442 edges of type ('n1', 'r1', 'n2') and 239 are inside the partition part 3 has 466 edges of type ('n1', 'r2', 'n3') and 290 are inside the partition part 3 has 408 edges of type ('n2', 'r1', 'n1') and 233 are inside the partition part 3 has 475 edges of type ('n2', 'r3', 'n3') and 297 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 74%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 74%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 75%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 75%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 76%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:21] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 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: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:21] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 76%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 601 nodes and 244 are inside the partition part 0 has 545 edges and 234 are inside the partition part 1 has 584 nodes and 237 are inside the partition part 1 has 535 edges and 248 are inside the partition part 2 has 608 nodes and 248 are inside the partition part 2 has 562 edges and 260 are inside the partition part 3 has 640 nodes and 271 are inside the partition part 3 has 578 edges and 258 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 645 nodes of type n1 and 264 are inside the partition part 0 has 647 nodes of type n2 and 235 are inside the partition part 0 has 590 nodes of type n3 and 262 are inside the partition part 0 has 398 edges of type ('n1', 'r1', 'n2') and 233 are inside the partition part 0 has 463 edges of type ('n1', 'r2', 'n3') and 245 are inside the partition part 0 has 460 edges of type ('n2', 'r1', 'n1') and 279 are inside the partition part 0 has 442 edges of type ('n2', 'r3', 'n3') and 255 are inside the partition part 1 has 633 nodes of type n1 and 207 are inside the partition part 1 has 634 nodes of type n2 and 273 are inside the partition part 1 has 554 nodes of type n3 and 260 are inside the partition part 1 has 406 edges of type ('n1', 'r1', 'n2') and 251 are inside the partition part 1 has 420 edges of type ('n1', 'r2', 'n3') and 256 are inside the partition part 1 has 423 edges of type ('n2', 'r1', 'n1') and 202 are inside the partition part 1 has 495 edges of type ('n2', 'r3', 'n3') and 284 are inside the partition part 2 has 653 nodes of type n1 and 267 are inside the partition part 2 has 665 nodes of type n2 and 248 are inside the partition part 2 has 546 nodes of type n3 and 242 are inside the partition part 2 has 507 edges of type ('n1', 'r1', 'n2') and 260 are inside the partition part 2 has 443 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 2 has 478 edges of type ('n2', 'r1', 'n1') and 274 are inside the partition part 2 has 442 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition part 3 has 680 nodes of type n1 and 262 are inside the partition part 3 has 656 nodes of type n2 and 254 are inside the partition part 3 has 544 nodes of type n3 and 256 are inside the partition part 3 has 452 edges of type ('n1', 'r1', 'n2') and 266 are inside the partition part 3 has 459 edges of type ('n1', 'r2', 'n3') and 283 are inside the partition part 3 has 435 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 3 has 428 edges of type ('n2', 'r3', 'n3') and 241 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 77%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:21] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:21] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 77%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 647 nodes and 279 are inside the partition part 0 has 591 edges and 279 are inside the partition part 1 has 599 nodes and 241 are inside the partition part 1 has 526 edges and 233 are inside the partition part 2 has 621 nodes and 247 are inside the partition part 2 has 569 edges and 255 are inside the partition part 3 has 597 nodes and 233 are inside the partition part 3 has 530 edges and 233 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.833 GB part 0 has 632 nodes of type n1 and 218 are inside the partition part 0 has 615 nodes of type n2 and 248 are inside the partition part 0 has 542 nodes of type n3 and 238 are inside the partition part 0 has 423 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 0 has 400 edges of type ('n1', 'r2', 'n3') and 219 are inside the partition part 0 has 412 edges of type ('n2', 'r1', 'n1') and 186 are inside the partition part 0 has 444 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 1 has 639 nodes of type n1 and 241 are inside the partition part 1 has 645 nodes of type n2 and 240 are inside the partition part 1 has 541 nodes of type n3 and 249 are inside the partition part 1 has 423 edges of type ('n1', 'r1', 'n2') and 238 are inside the partition part 1 has 450 edges of type ('n1', 'r2', 'n3') and 256 are inside the partition part 1 has 416 edges of type ('n2', 'r1', 'n1') and 246 are inside the partition part 1 has 412 edges of type ('n2', 'r3', 'n3') and 238 are inside the partition part 2 has 658 nodes of type n1 and 279 are inside the partition part 2 has 700 nodes of type n2 and 257 are inside the partition part 2 has 573 nodes of type n3 and 259 are inside the partition part 2 has 484 edges of type ('n1', 'r1', 'n2') and 270 are inside the partition part 2 has 461 edges of type ('n1', 'r2', 'n3') and 266 are inside the partition part 2 has 475 edges of type ('n2', 'r1', 'n1') and 309 are inside the partition part 2 has 456 edges of type ('n2', 'r3', 'n3') and 255 are inside the partition part 3 has 665 nodes of type n1 and 262 are inside the partition part 3 has 693 nodes of type n2 and 265 are inside the partition part 3 has 571 nodes of type n3 and 274 are inside the partition part 3 has 456 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 3 has 463 edges of type ('n1', 'r2', 'n3') and 279 are inside the partition part 3 has 461 edges of type ('n2', 'r1', 'n1') and 269 are inside the partition part 3 has 497 edges of type ('n2', 'r3', 'n3') and 288 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 78%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 78%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 79%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 80%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 80%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 81%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 619 nodes and 243 are inside the partition part 0 has 578 edges and 259 are inside the partition part 1 has 597 nodes and 261 are inside the partition part 1 has 547 edges and 267 are inside the partition part 2 has 624 nodes and 243 are inside the partition part 2 has 546 edges and 215 are inside the partition part 3 has 623 nodes and 253 are inside the partition part 3 has 572 edges and 259 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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: 1.833 GB part 0 has 636 nodes of type n1 and 227 are inside the partition part 0 has 645 nodes of type n2 and 254 are inside the partition part 0 has 574 nodes of type n3 and 271 are inside the partition part 0 has 443 edges of type ('n1', 'r1', 'n2') and 246 are inside the partition part 0 has 442 edges of type ('n1', 'r2', 'n3') and 270 are inside the partition part 0 has 388 edges of type ('n2', 'r1', 'n1') and 209 are inside the partition part 0 has 463 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 1 has 646 nodes of type n1 and 245 are inside the partition part 1 has 623 nodes of type n2 and 240 are inside the partition part 1 has 541 nodes of type n3 and 260 are inside the partition part 1 has 429 edges of type ('n1', 'r1', 'n2') and 244 are inside the partition part 1 has 443 edges of type ('n1', 'r2', 'n3') and 272 are inside the partition part 1 has 431 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 1 has 439 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition part 2 has 630 nodes of type n1 and 269 are inside the partition part 2 has 671 nodes of type n2 and 241 are inside the partition part 2 has 565 nodes of type n3 and 247 are inside the partition part 2 has 412 edges of type ('n1', 'r1', 'n2') and 222 are inside the partition part 2 has 472 edges of type ('n1', 'r2', 'n3') and 261 are inside the partition part 2 has 443 edges of type ('n2', 'r1', 'n1') and 287 are inside the partition part 2 has 455 edges of type ('n2', 'r3', 'n3') and 288 are inside the partition part 3 has 678 nodes of type n1 and 259 are inside the partition part 3 has 656 nodes of type n2 and 275 are inside the partition part 3 has 568 nodes of type n3 and 242 are inside the partition part 3 has 480 edges of type ('n1', 'r1', 'n2') and 298 are inside the partition part 3 has 428 edges of type ('n1', 'r2', 'n3') and 217 are inside the partition part 3 has 490 edges of type ('n2', 'r1', 'n1') and 278 are inside the partition part 3 has 451 edges of type ('n2', 'r3', 'n3') and 243 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 81%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:22] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:23] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 82%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 640 nodes and 261 are inside the partition part 0 has 596 edges and 267 are inside the partition part 1 has 597 nodes and 242 are inside the partition part 1 has 532 edges and 236 are inside the partition part 2 has 638 nodes and 259 are inside the partition part 2 has 573 edges and 259 are inside the partition part 3 has 610 nodes and 238 are inside the partition part 3 has 578 edges and 238 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 644 nodes of type n1 and 247 are inside the partition part 0 has 652 nodes of type n2 and 242 are inside the partition part 0 has 577 nodes of type n3 and 274 are inside the partition part 0 has 432 edges of type ('n1', 'r1', 'n2') and 246 are inside the partition part 0 has 444 edges of type ('n1', 'r2', 'n3') and 254 are inside the partition part 0 has 466 edges of type ('n2', 'r1', 'n1') and 279 are inside the partition part 0 has 456 edges of type ('n2', 'r3', 'n3') and 272 are inside the partition part 1 has 652 nodes of type n1 and 261 are inside the partition part 1 has 657 nodes of type n2 and 230 are inside the partition part 1 has 541 nodes of type n3 and 249 are inside the partition part 1 has 433 edges of type ('n1', 'r1', 'n2') and 232 are inside the partition part 1 has 425 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 1 has 430 edges of type ('n2', 'r1', 'n1') and 272 are inside the partition part 1 has 447 edges of type ('n2', 'r3', 'n3') and 269 are inside the partition part 2 has 683 nodes of type n1 and 265 are inside the partition part 2 has 698 nodes of type n2 and 277 are inside the partition part 2 has 589 nodes of type n3 and 280 are inside the partition part 2 has 454 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 2 has 475 edges of type ('n1', 'r2', 'n3') and 288 are inside the partition part 2 has 474 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 2 has 499 edges of type ('n2', 'r3', 'n3') and 278 are inside the partition part 3 has 641 nodes of type n1 and 227 are inside the partition part 3 has 598 nodes of type n2 and 261 are inside the partition part 3 has 551 nodes of type n3 and 217 are inside the partition part 3 has 447 edges of type ('n1', 'r1', 'n2') and 290 are inside the partition part 3 has 427 edges of type ('n1', 'r2', 'n3') and 234 are inside the partition part 3 has 402 edges of type ('n2', 'r1', 'n1') and 198 are inside the partition part 3 has 424 edges of type ('n2', 'r3', 'n3') and 211 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 82%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 83%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-True-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 83%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 84%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 84%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:23] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 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: 1.833 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: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:23] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 85%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 604 nodes and 223 are inside the partition part 0 has 573 edges and 247 are inside the partition part 1 has 643 nodes and 262 are inside the partition part 1 has 605 edges and 272 are inside the partition part 2 has 599 nodes and 247 are inside the partition part 2 has 507 edges and 222 are inside the partition part 3 has 643 nodes and 268 are inside the partition part 3 has 582 edges and 259 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.006s, peak mem: 1.833 GB part 0 has 676 nodes of type n1 and 257 are inside the partition part 0 has 657 nodes of type n2 and 256 are inside the partition part 0 has 566 nodes of type n3 and 265 are inside the partition part 0 has 474 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 0 has 452 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 0 has 441 edges of type ('n2', 'r1', 'n1') and 257 are inside the partition part 0 has 429 edges of type ('n2', 'r3', 'n3') and 234 are inside the partition part 1 has 653 nodes of type n1 and 256 are inside the partition part 1 has 657 nodes of type n2 and 250 are inside the partition part 1 has 563 nodes of type n3 and 271 are inside the partition part 1 has 438 edges of type ('n1', 'r1', 'n2') and 226 are inside the partition part 1 has 460 edges of type ('n1', 'r2', 'n3') and 265 are inside the partition part 1 has 445 edges of type ('n2', 'r1', 'n1') and 245 are inside the partition part 1 has 455 edges of type ('n2', 'r3', 'n3') and 281 are inside the partition part 2 has 641 nodes of type n1 and 240 are inside the partition part 2 has 663 nodes of type n2 and 262 are inside the partition part 2 has 556 nodes of type n3 and 234 are inside the partition part 2 has 452 edges of type ('n1', 'r1', 'n2') and 256 are inside the partition part 2 has 435 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 2 has 468 edges of type ('n2', 'r1', 'n1') and 270 are inside the partition part 2 has 460 edges of type ('n2', 'r3', 'n3') and 243 are inside the partition part 3 has 630 nodes of type n1 and 247 are inside the partition part 3 has 646 nodes of type n2 and 242 are inside the partition part 3 has 561 nodes of type n3 and 250 are inside the partition part 3 has 422 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 3 has 428 edges of type ('n1', 'r2', 'n3') and 239 are inside the partition part 3 has 400 edges of type ('n2', 'r1', 'n1') and 238 are inside the partition part 3 has 479 edges of type ('n2', 'r3', 'n3') and 272 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 85%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.833 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: 1.833 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 86%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 554 nodes and 220 are inside the partition part 0 has 493 edges and 227 are inside the partition part 1 has 641 nodes and 273 are inside the partition part 1 has 583 edges and 273 are inside the partition part 2 has 637 nodes and 257 are inside the partition part 2 has 581 edges and 256 are inside the partition part 3 has 624 nodes and 250 are inside the partition part 3 has 566 edges and 244 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 662 nodes of type n1 and 280 are inside the partition part 0 has 690 nodes of type n2 and 248 are inside the partition part 0 has 593 nodes of type n3 and 274 are inside the partition part 0 has 448 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 510 edges of type ('n1', 'r2', 'n3') and 285 are inside the partition part 0 has 457 edges of type ('n2', 'r1', 'n1') and 297 are inside the partition part 0 has 450 edges of type ('n2', 'r3', 'n3') and 276 are inside the partition part 1 has 604 nodes of type n1 and 248 are inside the partition part 1 has 638 nodes of type n2 and 235 are inside the partition part 1 has 562 nodes of type n3 and 252 are inside the partition part 1 has 397 edges of type ('n1', 'r1', 'n2') and 225 are inside the partition part 1 has 448 edges of type ('n1', 'r2', 'n3') and 234 are inside the partition part 1 has 416 edges of type ('n2', 'r1', 'n1') and 247 are inside the partition part 1 has 450 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 659 nodes of type n1 and 242 are inside the partition part 2 has 641 nodes of type n2 and 264 are inside the partition part 2 has 553 nodes of type n3 and 246 are inside the partition part 2 has 457 edges of type ('n1', 'r1', 'n2') and 270 are inside the partition part 2 has 421 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 2 has 456 edges of type ('n2', 'r1', 'n1') and 238 are inside the partition part 2 has 449 edges of type ('n2', 'r3', 'n3') and 236 are inside the partition part 3 has 652 nodes of type n1 and 230 are inside the partition part 3 has 635 nodes of type n2 and 263 are inside the partition part 3 has 547 nodes of type n3 and 248 are inside the partition part 3 has 445 edges of type ('n1', 'r1', 'n2') and 266 are inside the partition part 3 has 425 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 3 has 430 edges of type ('n2', 'r1', 'n1') and 228 are inside the partition part 3 has 456 edges of type ('n2', 'r3', 'n3') and 252 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 86%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 87%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 87%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 88%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:24] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.001 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:25] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.833 GB Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 88%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-True-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:25] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.833 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: 1.833 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:25] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.016s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 89%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-True-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 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: 1.833 GB part 0 has 622 nodes and 240 are inside the partition part 0 has 556 edges and 234 are inside the partition PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] part 1 has 619 nodes and 253 are inside the partition part 1 has 557 edges and 255 are inside the partition part 2 has 626 nodes and 264 are inside the partition part 2 has 549 edges and 247 are inside the partition part 3 has 617 nodes and 243 are inside the partition part 3 has 571 edges and 264 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 648 nodes of type n1 and 245 are inside the partition part 0 has 659 nodes of type n2 and 255 are inside the partition part 0 has 559 nodes of type n3 and 262 are inside the partition part 0 has 415 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 0 has 407 edges of type ('n1', 'r2', 'n3') and 233 are inside the partition part 0 has 473 edges of type ('n2', 'r1', 'n1') and 260 are inside the partition part 0 has 467 edges of type ('n2', 'r3', 'n3') and 276 are inside the partition part 1 has 640 nodes of type n1 and 249 are inside the partition part 1 has 651 nodes of type n2 and 244 are inside the partition part 1 has 569 nodes of type n3 and 278 are inside the partition part 1 has 419 edges of type ('n1', 'r1', 'n2') and 224 are inside the partition part 1 has 472 edges of type ('n1', 'r2', 'n3') and 285 are inside the partition part 1 has 392 edges of type ('n2', 'r1', 'n1') and 243 are inside the partition part 1 has 455 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 2 has 669 nodes of type n1 and 253 are inside the partition part 2 has 671 nodes of type n2 and 268 are inside the partition part 2 has 578 nodes of type n3 and 263 are inside the partition part 2 has 497 edges of type ('n1', 'r1', 'n2') and 306 are inside the partition part 2 has 461 edges of type ('n1', 'r2', 'n3') and 265 are inside the partition part 2 has 474 edges of type ('n2', 'r1', 'n1') and 264 are inside the partition part 2 has 469 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 3 has 659 nodes of type n1 and 253 are inside the partition part 3 has 631 nodes of type n2 and 243 are inside the partition part 3 has 520 nodes of type n3 and 217 are inside the partition part 3 has 427 edges of type ('n1', 'r1', 'n2') and 243 are inside the partition part 3 has 433 edges of type ('n1', 'r2', 'n3') and 237 are inside the partition part 3 has 435 edges of type ('n2', 'r1', 'n1') and 243 are inside the partition part 3 has 409 edges of type ('n2', 'r3', 'n3') and 223 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 89%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-False-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:25] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] Converting to homogeneous graph takes 0.001s, peak mem: 1.833 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.833 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.833 GB [10:36:25] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.833 GB Assigning nodes to METIS partitions takes 0.016s, peak mem: 1.833 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: 1.833 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 90%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-False-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.833 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.833 GB Calculate edge assignment: 0.000 seconds part 0 has 637 nodes and 250 are inside the partition part 0 has 600 edges and 269 are inside the partition part 1 has 610 nodes and 254 are inside the partition part 1 has 539 edges and 239 are inside the partition part 2 has 621 nodes and 248 are inside the partition part 2 has 579 edges and 257 are inside the partition part 3 has 607 nodes and 248 are inside the partition part 3 has 537 edges and 235 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.833 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.833 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 0.007s, peak mem: 1.833 GB part 0 has 637 nodes of type n1 and 266 are inside the partition part 0 has 663 nodes of type n2 and 236 are inside the partition part 0 has 551 nodes of type n3 and 253 are inside the partition part 0 has 420 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 0 has 456 edges of type ('n1', 'r2', 'n3') and 250 are inside the partition part 0 has 438 edges of type ('n2', 'r1', 'n1') and 274 are inside the partition part 0 has 423 edges of type ('n2', 'r3', 'n3') and 251 are inside the partition part 1 has 660 nodes of type n1 and 231 are inside the partition part 1 has 641 nodes of type n2 and 253 are inside the partition part 1 has 558 nodes of type n3 and 266 are inside the partition part 1 has 446 edges of type ('n1', 'r1', 'n2') and 269 are inside the partition part 1 has 435 edges of type ('n1', 'r2', 'n3') and 272 are inside the partition part 1 has 430 edges of type ('n2', 'r1', 'n1') and 217 are inside the partition part 1 has 444 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 2 has 641 nodes of type n1 and 245 are inside the partition part 2 has 644 nodes of type n2 and 266 are inside the partition part 2 has 560 nodes of type n3 and 245 are inside the partition part 2 has 450 edges of type ('n1', 'r1', 'n2') and 260 are inside the partition part 2 has 422 edges of type ('n1', 'r2', 'n3') and 234 are inside the partition part 2 has 457 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 2 has 452 edges of type ('n2', 'r3', 'n3') and 253 are inside the partition part 3 has 658 nodes of type n1 and 258 are inside the partition part 3 has 659 nodes of type n2 and 255 are inside the partition part 3 has 571 nodes of type n3 and 256 are inside the partition part 3 has 443 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 3 has 469 edges of type ('n1', 'r2', 'n3') and 264 are inside the partition part 3 has 460 edges of type ('n2', 'r1', 'n1') and 266 are inside the partition part 3 has 469 edges of type ('n2', 'r3', 'n3') and 272 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.833 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 90%] tests/distributed/test_partition.py::test_BasicPartitionBook PASSED [ 91%] tests/distributed/test_partition.py::test_RangePartitionBook PASSED [ 91%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] 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] [10:36:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:36:26] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] Start server 0 [10:36:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:36:27] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17467]... PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 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] Client [3906] waits on 172.17.0.3:56135 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] [10:36:33] /root/jenkins/workspace/dgl_PR-4814/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [10:36:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [10:36:33] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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] [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [10:36:34] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] [10:36:38] /root/jenkins/workspace/dgl_PR-4814/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [10:36:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [10:36:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 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] Sleep 1 seconds to test client re-connect. [10:36:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:36:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:36:42] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:19482]. 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 [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] Start server 0 [10:36:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:36:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:19482]... [10:36:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:19482]. PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] [10:36:45] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:38005]. Client [3926] waits on 172.17.0.3:38005 PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] Machine (0) group (0) client (0) connect to server successfuly! 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] [10:36:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [10:36:49] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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] [10:36:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [10:36:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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] [10:36:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [10:36:50] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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] [10:36:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [10:36:54] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/distributed/test_rpc.py::test_serialize PASSED [ 93%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 93%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] Sleep 1 seconds to test client re-connect. [10:36:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:36:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:36:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:12614]. PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] Start server 0 [10:36:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:36:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:12614]... [10:36:58] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:12614]. 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-4814/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-4814/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-4814/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-4814/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.72s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.69s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.66s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.65s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 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[4-1-g3-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.20s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.19s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.16s 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[4-2-g0-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] 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-g2-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] ====================== 920 passed, 35 warnings in 57.56s ======================= [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... [10:37:00] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:56577]. Client [3948] waits on 172.17.0.3:56577 [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 4e6455ff523431f5ccd0d996a784ac5f099d3535b967a3e655edd85ebc8f0b14 $ docker rm -f 4e6455ff523431f5ccd0d996a784ac5f099d3535b967a3e655edd85ebc8f0b14 Machine (0) group (0) client (0) connect to server successfuly! [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4814 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... [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 [ 94%] tests/distributed/test_rpc.py::test_multi_client[socket] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [[10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc10:37:06:] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc141:: Sender with NetType~socket141 is created.: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc[:10:37:06161] : /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.ccReceiver with NetType~:socket161 is created.: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Cleaning workspace Fetching without tags [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:06] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4814/head:refs/remotes/origin/PR-4814 # 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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b Start server 0 [10:37:07] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:07] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:17628]... Merge succeeded, producing 0340d6aaf97151847b07dab7665399e322cdebc0 Checking out Revision 0340d6aaf97151847b07dab7665399e322cdebc0 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0340d6aaf97151847b07dab7665399e322cdebc0 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4814 0340d6aaf97151847b07dab7665399e322cdebc0 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 > git clean -fdx # timeout=10 v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [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-4814 -v /root/jenkins/workspace/dgl_PR-4814:/root/jenkins/workspace/dgl_PR-4814:rw,z -v /root/jenkins/workspace/dgl_PR-4814@tmp:/root/jenkins/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top 40463a3db8b75918cfeab2372bf39bc002a0640e10546385604176b590558565 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (DGL-Go CPU 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@33f36203; decorates RemoteLauncher[hudson.remoting.Channel@9fc15f6: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 Client [3982] waits on 172.17.0.3:60371 Client [3969] waits on 172.17.0.3:53923 Client [3985] waits on 172.17.0.3:54465 Client [3995] waits on 172.17.0.3:41499 Client [3968] waits on 172.17.0.3:58393 Client [3971] waits on 172.17.0.3:38839 Client [3977] waits on 172.17.0.3:50017Client [4004] waits on 172.17.0.3:48963 Client [3973] waits on 172.17.0.3:47451Client [3967] waits on 172.17.0.3:52337 Client [3996] waits on 172.17.0.3:40051 Client [3992] waits on 172.17.0.3:36561 Client [3981] waits on 172.17.0.3:52399 Client [3991] waits on 172.17.0.3:39497Client [3966] waits on 172.17.0.3:52759Client [4000] waits on 172.17.0.3:42097 Client [3970] waits on 172.17.0.3:42987Client [3972] waits on 172.17.0.3:51039 Client [3997] waits on 172.17.0.3:44441 Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (14) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (11) 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 (9) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly!Client [3988] waits on 172.17.0.3:41143 Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (12) 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 (4) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Merging remotes/origin/master commit df089424c76e246de0eea9f62ef7923d41a17d17 into PR head commit e244f689ab1c02e6822056f2ed8d24bd7701d04b > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4814/.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/4814/head:refs/remotes/origin/PR-4814 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e244f689ab1c02e6822056f2ed8d24bd7701d04b # 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 df089424c76e246de0eea9f62ef7923d41a17d17 # timeout=10 Merge succeeded, producing 8ffb8cb0a3904b36c393c1ab6aad00a74e141159 Checking out Revision 8ffb8cb0a3904b36c393c1ab6aad00a74e141159 (PR-4814) Commit message: "Merge commit 'df089424c76e246de0eea9f62ef7923d41a17d17' into HEAD" First time build. Skipping changelog. Cleaning workspace Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[14] in group[0] is exiting... Client[19] in group[0] is exiting... Client[1] in group[0] is exiting... Client[13] in group[0] is exiting... Client[15] in group[0] is exiting... Client[10] in group[0] is exiting... Client[17] in group[0] is exiting... Client[18] in group[0] is exiting... Client[9] in group[0] is exiting... Client[2] in group[0] is exiting... Client[12] in group[0] is exiting... Client[11] in group[0] is exiting... Client[5] in group[0] is exiting... Client[6] in group[0] is exiting... Client[8] in group[0] is exiting... Client[4] in group[0] is exiting... Client[7] in group[0] is exiting... Client[16] in group[0] is exiting... [Pipeline] sh > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 8ffb8cb0a3904b36c393c1ab6aad00a74e141159 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4814 # timeout=10 > git checkout -b PR-4814 8ffb8cb0a3904b36c393c1ab6aad00a74e141159 # timeout=10 > git rev-list --no-walk 94a472453aa914a20f516788340b79bdc2289c13 # 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-4814/third_party/METIS'... Server (0) shutdown. Server is exiting... PASSED [ 94%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/dmlc-core'... [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. Sleep 1 seconds to test client re-connect. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] [/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc10:37:16:] 141/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc: :Sender with NetType~161tensorpipe: is created.Receiver with NetType~ tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[[tcp://172.17.0.3:1330910:37:16].] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:[37: Failed to connect to receiver[tcp://172.17.0.3:13309]. 10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:16] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:13309]. Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/googletest'... Start server 0 [10:37:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:13309]... [10:37:17] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:13309]. Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/libxsmm'... [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:33335]. Client [4115] waits on 172.17.0.3:33335 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:47225]. Client [4121] waits on 172.17.0.3:47225 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:47761[]. 10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc[:10810:37:19: ] TPReceiver starts to wait on [/root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cctcp://172.17.0.3:55653:].108 : TPReceiver starts to wait on [tcp://172.17.0.3:47513]. Client [4118] waits on 172.17.0.3:47761Client [4116] waits on 172.17.0.3:55653 Client [4117] waits on 172.17.0.3:47513 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:39471]. Client [4124] waits on 172.17.0.3:39471 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:51117]. Client [4146] waits on 172.17.0.3:51117 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:40109]. Client [4128] waits on 172.17.0.3:40109 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:41927]. Client [4120] waits on 172.17.0.3:41927 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:57329]. [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:40535]. Client [4122] waits on 172.17.0.3:57329 Client [4127] waits on 172.17.0.3:40535 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:60157]. Client [4132] waits on 172.17.0.3:60157 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:45769]. Client [4119] waits on 172.17.0.3:45769 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:32869]. Client [4133] waits on 172.17.0.3:32869 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:53843]. Client [4123] waits on 172.17.0.3:53843 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:40897]. Client [4136] waits on 172.17.0.3:40897 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:42589]. Client [4147] waits on 172.17.0.3:42589 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:57723]. [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:55925]. Client [4139] waits on 172.17.0.3:57723 Client [4150] waits on 172.17.0.3:55925 [10:37:19] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:38683]. Client [4131] waits on 172.17.0.3:38683 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly!Machine (0) group (0) client (11) connect to server successfuly!Machine (0) group (0) client (7) connect to server successfuly!Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (12) 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 (15) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... Client[1] 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[11] in group[0] is exiting... Client[10] in group[0] is exiting... Client[6] in group[0] is exiting... Client[17] in group[0] is exiting... Client[19] in group[0] is exiting... Client[14] in group[0] is exiting... Client[5] in group[0] is exiting... Client[18] in group[0] is exiting... Client[7] in group[0] is exiting... Client[12] in group[0] is exiting... Client[16] in group[0] is exiting... Client[15] in group[0] is exiting... Client[8] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 95%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [10:37:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:29] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. Start server 1Start server 0 [[10:37:3110:37:31] ] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc::141141: : Sender with NetType~Sender with NetType~socketsocket is created. is created. [[10:37:3110:37:31] ] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc::161161: : Receiver with NetType~Receiver with NetType~socketsocket is created. is created. Server is waiting for connections on [172.17.0.3:22455]...Server is waiting for connections on [172.17.0.3:22457]... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/thrust'... Client [1093] waits on 172.17.0.3:56327 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge Server (1) shutdown.Server (0) shutdown. Server is exiting... Server is exiting... PASSED [ 95%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [10:37:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:36] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:19108]. /root/jenkins/workspace/dgl_PR-4814@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. " Among 100 graphs generated, 95% are valid. Running tutorial ./blitz/5_graph_classification.py ... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm'... Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous Start server 0 Start server 1 [10:37:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~[tensorpipe is created. 10:37:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:38Server is waiting for connections on [172.17.0.3:19110]...] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~[tensorpipe10:37:38 is created.] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [Server is waiting for connections on [172.17.0.3:19108]...tcp://172.17.0.3:19110 ]. [10:37:38] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:19108]. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 20%] 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 [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] [10:37:39] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:40845]. Client [1093] waits on 172.17.0.3:40845 PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] 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_serialize.py::test_graph_serialize_with_formats[coo-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] 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 [ 96%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 96%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [10:37:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:43] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/xbyak'... PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] 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-4814/third_party/METIS/GKlib'... PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int32] Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int32] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 23%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 23%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 23%] tests/compute/test_sort.py::test_sort_with_tag[int32] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag[int64] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] 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-4814/third_party/tensorpipe/third_party/googletest'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] [10:37:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:47] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libnop'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] Start server 0 [10:37:48] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [10:37:48] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.3:24857]... Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/libuv'... 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 [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tensorpipe/third_party/pybind11'... 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] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] 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-4814/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-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-4814/third_party/thrust/dependencies/cub'... 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] Client [4293] waits on 172.17.0.3:44105 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] Client[0] in group[0] is exiting... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] Server (0) shutdown. Server is exiting... PASSED [ 97%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [10:37:55] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:55] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:55] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21954]. Expected error: Failed to build conncetion with peer[172.17.0.3:21954] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dlpack'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/dmlc-core'... [10:37:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [10:37:56] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.3:21954]. Sleep 1 seconds to test client re-connect. Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/rang'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4814/third_party/tvm/3rdparty/vta-hw'... Start server 0 [10:37:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [10:37:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.3:21954]... [10:37:57] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:21954]. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] 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 PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] + bash tests/scripts/task_go_test.sh ~/jenkins/workspace/dgl_PR-4814/dglgo ~/jenkins/workspace/dgl_PR-4814 [10:37:59] /root/jenkins/workspace/dgl_PR-4814/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.3:57125]. Client [4309] waits on 172.17.0.3:57125 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 [ 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] running install PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] running bdist_egg running egg_info creating dglgo.egg-info writing dglgo.egg-info/PKG-INFO writing dependency_links to dglgo.egg-info/dependency_links.txt PASSED [ 24%]writing entry points to dglgo.egg-info/entry_points.txt writing requirements to dglgo.egg-info/requires.txt tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] writing top-level names to dglgo.egg-info/top_level.txt writing manifest file 'dglgo.egg-info/SOURCES.txt' reading manifest file 'dglgo.egg-info/SOURCES.txt' writing manifest file 'dglgo.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib creating build/lib/recipes copying recipes/__init__.py -> build/lib/recipes creating build/lib/dglgo copying dglgo/__init__.py -> build/lib/dglgo creating build/lib/dglgo/pipeline copying dglgo/pipeline/__init__.py -> build/lib/dglgo/pipeline creating build/lib/dglgo/utils copying dglgo/utils/early_stop.py -> build/lib/dglgo/utils copying dglgo/utils/optimizer_config.py -> build/lib/dglgo/utils copying dglgo/utils/enter_config.py -> build/lib/dglgo/utils copying dglgo/utils/yaml_dump.py -> build/lib/dglgo/utils copying dglgo/utils/__init__.py -> build/lib/dglgo/utils copying dglgo/utils/factory.py -> build/lib/dglgo/utils copying dglgo/utils/base_model.py -> build/lib/dglgo/utils creating build/lib/dglgo/apply_pipeline copying dglgo/apply_pipeline/__init__.py -> build/lib/dglgo/apply_pipeline creating build/lib/dglgo/model copying dglgo/model/__init__.py -> build/lib/dglgo/model creating build/lib/dglgo/cli copying dglgo/cli/config_apply_cli.py -> build/lib/dglgo/cli copying dglgo/cli/config_cli.py -> build/lib/dglgo/cli copying dglgo/cli/train_cli.py -> build/lib/dglgo/cli copying dglgo/cli/cli.py -> build/lib/dglgo/cli copying dglgo/cli/export_cli.py -> build/lib/dglgo/cli copying dglgo/cli/recipe_cli.py -> build/lib/dglgo/cli copying dglgo/cli/__init__.py -> build/lib/dglgo/cli copying dglgo/cli/apply_cli.py -> build/lib/dglgo/cli creating build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/gen.py -> build/lib/dglgo/pipeline/nodepred_sample creating build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/__init__.py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/gen.py -> build/lib/dglgo/pipeline/graphpred creating build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/__init__.py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/gen.py -> build/lib/dglgo/pipeline/linkpred creating build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/__init__.py -> build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/gen.py -> build/lib/dglgo/pipeline/nodepred creating build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/gen.py -> build/lib/dglgo/apply_pipeline/nodepred_sample creating build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/__init__.py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/gen.py -> build/lib/dglgo/apply_pipeline/graphpred creating build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/gen.py -> build/lib/dglgo/apply_pipeline/nodepred creating build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sage.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sgc.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gcn.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gin.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/__init__.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gat.py -> build/lib/dglgo/model/node_encoder creating build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/gin_ogbg.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/__init__.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/pna.py -> build/lib/dglgo/model/graph_encoder creating build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/bilinear.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/dot.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/ele.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/__init__.py -> build/lib/dglgo/model/edge_encoder copying recipes/graphpred_hiv_gin.yaml -> build/lib/recipes copying recipes/graphpred_hiv_pna.yaml -> build/lib/recipes copying recipes/graphpred_pcba_gin.yaml -> build/lib/recipes copying recipes/linkpred_citation2_sage.yaml -> build/lib/recipes copying recipes/linkpred_collab_sage.yaml -> build/lib/recipes copying recipes/linkpred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_arxiv_gcn.yaml -> build/lib/recipes copying recipes/nodepred-ns_product_sage.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gat.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gcn.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_sage.yaml -> build/lib/recipes copying recipes/nodepred_cora_gat.yaml -> build/lib/recipes copying recipes/nodepred_cora_gcn.yaml -> build/lib/recipes copying recipes/nodepred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gat.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gcn.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_sage.yaml -> build/lib/recipes copying dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/linkpred/linkpred.jinja-py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/pipeline/nodepred copying dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_pna.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_citation2_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_product_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_pcba_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_arxiv_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/__init__.py -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_collab_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gat.yaml -> build/bdist.linux-x86_64/egg/recipes creating build/bdist.linux-x86_64/egg/dglgo creating build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/linkpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/early_stop.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/optimizer_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/enter_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/yaml_dump.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/factory.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/base_model.py -> build/bdist.linux-x86_64/egg/dglgo/utils creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sage.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sgc.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gcn.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gin.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gat.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/gin_ogbg.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/pna.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/bilinear.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/dot.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/ele.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/train_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/export_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/recipe_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/__init__.py -> build/bdist.linux-x86_64/egg/dglgo byte-compiling build/bdist.linux-x86_64/egg/recipes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/early_stop.py to early_stop.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/optimizer_config.py to optimizer_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/enter_config.py to enter_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/yaml_dump.py to yaml_dump.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/base_model.py to base_model.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sage.py to sage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sgc.py to sgc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gcn.py to gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gin.py to gin.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gat.py to gat.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/gin_ogbg.py to gin_ogbg.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/pna.py to pna.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/bilinear.py to bilinear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/dot.py to dot.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/ele.py to ele.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_apply_cli.py to config_apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_cli.py to config_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/train_cli.py to train_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/cli.py to cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/export_cli.py to export_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/recipe_cli.py to recipe_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/apply_cli.py to apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/__init__.py to __init__.cpython-37.pyc creating build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, zip_safe flag not set; analyzing archive contents... dglgo.apply_pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.cli.__pycache__.recipe_cli.cpython-37: module references __file__ dglgo.pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.linkpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.utils.__pycache__.factory.cpython-37: module references __file__ creating dist creating 'dist/dglgo-0.0.2-py3.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] 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 [ 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] Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 97%] tests/distributed/test_shared_mem_store.py::test_init SKIPPED (skip ...) [ 98%] tests/distributed/test_shared_mem_store.py::test_compute SKIPPED (sk...) [ 98%] tests/distributed/test_shared_mem_store.py::test_sync_barrier SKIPPED [ 99%] 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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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") python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4814@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/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-4814@3/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: 1 warning tests/distributed/test_mp_dataloader.py: 4 warnings tests/distributed/test_partition.py: 64 warnings /root/jenkins/workspace/dgl_PR-4814@3/python/dgl/distributed/partition.py:683: 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: 1 warning tests/distributed/test_mp_dataloader.py: 4 warnings tests/distributed/test_partition.py: 128 warnings /root/jenkins/workspace/dgl_PR-4814@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) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4814@3/pytest_distributed.xml - ============================ slowest 100 durations ============================= 70.74s call tests/distributed/test_dist_graph_store.py::test_server_client 68.64s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 53.62s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 42.23s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 38.93s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 38.03s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 37.13s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 31.11s call tests/distributed/test_dist_graph_store.py::test_dist_optim_server_client 30.77s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 30.43s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 16.57s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 16.11s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-4] 16.01s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 15.66s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 15.56s call tests/distributed/test_dist_graph_store.py::test_split[True] 15.07s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 14.66s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 13.60s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-4] 13.33s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-4] 13.22s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 12.87s call tests/distributed/test_new_kvstore.py::test_kv_store 12.70s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-4] 12.46s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 12.39s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] 12.08s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 11.93s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] 11.91s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] 11.60s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 11.58s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-1] 10.93s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-1] 10.60s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-1] 10.03s call tests/distributed/test_rpc.py::test_multi_client[socket] 9.07s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-1] 8.29s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] 8.27s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 8.19s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] 8.16s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-4] 7.95s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 7.84s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] 7.75s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] 7.33s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 6.81s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-1] 6.31s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 5.77s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-4] 5.43s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 5.39s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-1] 5.31s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 5.31s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 1.18s call tests/distributed/test_dist_graph_store.py::test_split[False] 0.29s call tests/distributed/test_partition.py::test_partition[None-True-4-4-True-metis] 0.29s call tests/distributed/test_partition.py::test_partition[None-True-4-4-False-metis] 0.26s call tests/distributed/test_partition.py::test_partition[None-False-1-4-True-metis] 0.26s call tests/distributed/test_partition.py::test_partition[None-True-1-4-False-metis] 0.26s call tests/distributed/test_partition.py::test_partition[None-True-1-4-True-random] 0.26s call tests/distributed/test_partition.py::test_partition[None-False-1-4-False-metis] 0.25s call tests/distributed/test_partition.py::test_partition[None-True-4-4-True-random] 0.25s call tests/distributed/test_dist_graph_store.py::test_split_even 0.25s call tests/distributed/test_partition.py::test_partition[None-False-1-4-True-random] 0.25s call tests/distributed/test_partition.py::test_partition[None-True-4-4-False-random] 0.25s call tests/distributed/test_partition.py::test_partition[None-False-1-4-False-random] 0.25s call tests/distributed/test_distributed_sampling.py::test_standalone_sampling 0.24s call tests/distributed/test_mp_dataloader.py::test_standalone 0.23s call tests/distributed/test_partition.py::test_partition[None-False-4-4-True-metis] 0.23s call tests/distributed/test_partition.py::test_partition[None-False-4-4-False-metis] 0.22s call tests/distributed/test_partition.py::test_partition[None-True-1-4-False-random] 0.21s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-True-metis] 0.21s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-False-metis] 0.21s call tests/distributed/test_partition.py::test_partition[None-True-1-4-True-metis] 0.21s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-True-random] 0.21s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-False-random] 0.21s call tests/distributed/test_partition.py::test_partition[None-False-4-4-True-random] 0.21s call tests/distributed/test_partition.py::test_partition[None-False-4-4-False-random] 0.20s call tests/distributed/test_partition.py::test_partition[None-True-4-1-False-random] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-False-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[None-True-4-1-False-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-False-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-False-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-False-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-True-metis] 0.20s call tests/distributed/test_partition.py::test_partition[None-False-4-1-True-random] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-False-metis] 0.19s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-False-metis] 0.19s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.19s call tests/distributed/test_partition.py::test_partition[None-False-4-1-False-metis] 0.19s call tests/distributed/test_partition.py::test_partition[None-False-4-1-True-metis] 0.19s call tests/distributed/test_partition.py::test_partition[None-False-4-1-False-random] 0.19s call tests/distributed/test_partition.py::test_partition[None-False-1-1-True-random] 0.18s call tests/distributed/test_partition.py::test_partition[None-True-4-1-True-random] 0.18s call tests/distributed/test_partition.py::test_partition[None-False-1-1-True-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-True-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-False-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-True-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-False-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-True-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-False-random] =========== 189 passed, 6 skipped, 220 warnings in 872.06s (0:14:32) =========== PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-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-4814@3 collecting ... 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] Downloading https://files.pythonhosted.org/packages/a6/21/25f08374356322a155abef316741d483dde4c10dd673e671f840d916de95/rdkit_pypi-2022.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=05312553c76373ff1caa8629069def427c575abd1f82565f2252b89c91dcd840 Best match: rdkit-pypi 2022.9.1 Processing rdkit_pypi-2022.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing rdkit_pypi-2022.9.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] collected 37 items tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] Converting to homogeneous graph takes 0.002s, peak mem: 0.896 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 0.896 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 0.896 GB [10:38:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 300 nodes and 60 edges into 2 parts and get 1 edge cuts Metis partitioning: 0.000 seconds, peak memory: 0.896 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 0.896 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 0.896 GB part 0 has 49 nodes of type n1 and 49 are inside the partition part 0 has 50 nodes of type n2 and 50 are inside the partition part 0 has 52 nodes of type n3 and 51 are inside the partition part 0 has 6 edges of type ('n1', 'r1', 'n2') and 6 are inside the partition part 0 has 6 edges of type ('n1', 'r2', 'n3') and 5 are inside the partition part 0 has 5 edges of type ('n2', 'r3', 'n3') and 5 are inside the partition part 1 has 52 nodes of type n1 and 51 are inside the partition part 1 has 50 nodes of type n2 and 50 are inside the partition part 1 has 49 nodes of type n3 and 49 are inside the partition part 1 has 4 edges of type ('n1', 'r1', 'n2') and 4 are inside the partition part 1 has 5 edges of type ('n1', 'r2', 'n3') and 5 are inside the partition part 1 has 5 edges of type ('n2', 'r3', 'n3') and 5 are inside the partition Save partitions: 0.004 seconds, peak memory: 0.896 GB There are 30 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 2%] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-500-4] Converting to homogeneous graph takes 0.006s, peak mem: 0.896 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 0.896 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 0.896 GB [10:38:05] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 5000 nodes and 22500 edges into 4 parts and get 365 edge cuts Metis partitioning: 0.009 seconds, peak memory: 0.896 GB Assigning nodes to METIS partitions takes 0.011s, peak mem: 0.896 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.006 seconds Splitting the graph into partitions takes 0.011s, peak mem: 0.896 GB part 0 has 133 nodes of type n1 and 125 are inside the partition part 0 has 140 nodes of type n10 and 129 are inside the partition part 0 has 137 nodes of type n2 and 128 are inside the partition part 0 has 138 nodes of type n3 and 129 are inside the partition part 0 has 136 nodes of type n4 and 128 are inside the partition part 0 has 131 nodes of type n5 and 125 are inside the partition part 0 has 138 nodes of type n6 and 128 are inside the partition part 0 has 140 nodes of type n7 and 128 are inside the partition part 0 has 140 nodes of type n8 and 129 are inside the partition part 0 has 137 nodes of type n9 and 128 are inside the partition part 0 has 83 edges of type ('n1', 'r1', 'n2') and 79 are inside the partition part 0 has 81 edges of type ('n1', 'r2', 'n3') and 77 are inside the partition part 0 has 81 edges of type ('n1', 'r3', 'n4') and 78 are inside the partition part 0 has 83 edges of type ('n1', 'r4', 'n5') and 81 are inside the partition part 0 has 80 edges of type ('n1', 'r5', 'n6') and 77 are inside the partition part 0 has 80 edges of type ('n1', 'r6', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n1', 'r7', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n1', 'r8', 'n9') and 78 are inside the partition part 0 has 81 edges of type ('n1', 'r9', 'n10') and 74 are inside the partition part 0 has 81 edges of type ('n2', 'r10', 'n3') and 77 are inside the partition part 0 has 80 edges of type ('n2', 'r11', 'n4') and 78 are inside the partition part 0 has 82 edges of type ('n2', 'r12', 'n5') and 81 are inside the partition part 0 has 79 edges of type ('n2', 'r13', 'n6') and 77 are inside the partition part 0 has 79 edges of type ('n2', 'r14', 'n7') and 76 are inside the partition part 0 has 79 edges of type ('n2', 'r15', 'n8') and 75 are inside the partition part 0 has 81 edges of type ('n2', 'r16', 'n9') and 78 are inside the partition part 0 has 80 edges of type ('n2', 'r17', 'n10') and 74 are inside the partition part 0 has 80 edges of type ('n3', 'r18', 'n4') and 78 are inside the partition part 0 has 82 edges of type ('n3', 'r19', 'n5') and 81 are inside the partition part 0 has 79 edges of type ('n3', 'r20', 'n6') and 77 are inside the partition part 0 has 79 edges of type ('n3', 'r21', 'n7') and 76 are inside the partition part 0 has 77 edges of type ('n3', 'r22', 'n8') and 75 are inside the partition part 0 has 81 edges of type ('n3', 'r23', 'n9') and 78 are inside the partition part 0 has 78 edges of type ('n3', 'r24', 'n10') and 74 are inside the partition part 0 has 84 edges of type ('n4', 'r25', 'n5') and 81 are inside the partition part 0 has 82 edges of type ('n4', 'r26', 'n6') and 77 are inside the partition part 0 has 82 edges of type ('n4', 'r27', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n4', 'r28', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n4', 'r29', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n4', 'r30', 'n10') and 74 are inside the partition part 0 has 84 edges of type ('n5', 'r31', 'n6') and 77 are inside the partition part 0 has 84 edges of type ('n5', 'r32', 'n7') and 76 are inside the partition part 0 has 83 edges of type ('n5', 'r33', 'n8') and 75 are inside the partition part 0 has 84 edges of type ('n5', 'r34', 'n9') and 78 are inside the partition part 0 has 82 edges of type ('n5', 'r35', 'n10') and 74 are inside the partition part 0 has 82 edges of type ('n6', 'r36', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n6', 'r37', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n6', 'r38', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n6', 'r39', 'n10') and 74 are inside the partition part 0 has 78 edges of type ('n7', 'r40', 'n8') and 75 are inside the partition part 0 has 79 edges of type ('n7', 'r41', 'n9') and 78 are inside the partition part 0 has 77 edges of type ('n7', 'r42', 'n10') and 74 are inside the partition part 0 has 83 edges of type ('n8', 'r43', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n8', 'r44', 'n10') and 74 are inside the partition part 0 has 80 edges of type ('n9', 'r45', 'n10') and 74 are inside the partition part 1 has 140 nodes of type n1 and 129 are inside the partition part 1 has 130 nodes of type n10 and 126 are inside the partition part 1 has 139 nodes of type n2 and 129 are inside the partition part 1 has 136 nodes of type n3 and 129 are inside the partition part 1 has 141 nodes of type n4 and 129 are inside the partition part 1 has 140 nodes of type n5 and 127 are inside the partition part 1 has 141 nodes of type n6 and 129 are inside the partition part 1 has 132 nodes of type n7 and 125 are inside the partition part 1 has 130 nodes of type n8 and 124 are inside the partition part 1 has 140 nodes of type n9 and 128 are inside the partition part 1 has 71 edges of type ('n1', 'r1', 'n2') and 67 are inside the partition part 1 has 72 edges of type ('n1', 'r2', 'n3') and 71 are inside the partition part 1 has 70 edges of type ('n1', 'r3', 'n4') and 68 are inside the partition part 1 has 70 edges of type ('n1', 'r4', 'n5') and 67 are inside the partition part 1 has 71 edges of type ('n1', 'r5', 'n6') and 70 are inside the partition part 1 has 72 edges of type ('n1', 'r6', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n1', 'r7', 'n8') and 73 are inside the partition part 1 has 71 edges of type ('n1', 'r8', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n1', 'r9', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n2', 'r10', 'n3') and 71 are inside the partition part 1 has 71 edges of type ('n2', 'r11', 'n4') and 68 are inside the partition part 1 has 70 edges of type ('n2', 'r12', 'n5') and 67 are inside the partition part 1 has 71 edges of type ('n2', 'r13', 'n6') and 70 are inside the partition part 1 has 72 edges of type ('n2', 'r14', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n2', 'r15', 'n8') and 73 are inside the partition part 1 has 72 edges of type ('n2', 'r16', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n2', 'r17', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n3', 'r18', 'n4') and 68 are inside the partition part 1 has 72 edges of type ('n3', 'r19', 'n5') and 67 are inside the partition part 1 has 73 edges of type ('n3', 'r20', 'n6') and 70 are inside the partition part 1 has 74 edges of type ('n3', 'r21', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n3', 'r22', 'n8') and 73 are inside the partition part 1 has 74 edges of type ('n3', 'r23', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n3', 'r24', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n4', 'r25', 'n5') and 67 are inside the partition part 1 has 75 edges of type ('n4', 'r26', 'n6') and 70 are inside the partition part 1 has 76 edges of type ('n4', 'r27', 'n7') and 72 are inside the partition part 1 has 75 edges of type ('n4', 'r28', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n4', 'r29', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n4', 'r30', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n5', 'r31', 'n6') and 70 are inside the partition part 1 has 74 edges of type ('n5', 'r32', 'n7') and 72 are inside the partition part 1 has 74 edges of type ('n5', 'r33', 'n8') and 73 are inside the partition part 1 has 72 edges of type ('n5', 'r34', 'n9') and 67 are inside the partition part 1 has 74 edges of type ('n5', 'r35', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n6', 'r36', 'n7') and 72 are inside the partition part 1 has 74 edges of type ('n6', 'r37', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n6', 'r38', 'n9') and 67 are inside the partition part 1 has 74 edges of type ('n6', 'r39', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n7', 'r40', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n7', 'r41', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n7', 'r42', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n8', 'r43', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n8', 'r44', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n9', 'r45', 'n10') and 74 are inside the partition part 2 has 121 nodes of type n1 and 119 are inside the partition part 2 has 128 nodes of type n10 and 127 are inside the partition part 2 has 131 nodes of type n2 and 129 are inside the partition part 2 has 131 nodes of type n3 and 129 are inside the partition part 2 has 132 nodes of type n4 and 129 are inside the partition part 2 has 133 nodes of type n5 and 129 are inside the partition part 2 has 125 nodes of type n6 and 124 are inside the partition part 2 has 130 nodes of type n7 and 129 are inside the partition part 2 has 131 nodes of type n8 and 129 are inside the partition part 2 has 131 nodes of type n9 and 129 are inside the partition part 2 has 51 edges of type ('n1', 'r1', 'n2') and 51 are inside the partition part 2 has 50 edges of type ('n1', 'r2', 'n3') and 50 are inside the partition part 2 has 50 edges of type ('n1', 'r3', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n1', 'r4', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n1', 'r5', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n1', 'r6', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n1', 'r7', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n1', 'r8', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n1', 'r9', 'n10') and 49 are inside the partition part 2 has 50 edges of type ('n2', 'r10', 'n3') and 50 are inside the partition part 2 has 50 edges of type ('n2', 'r11', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n2', 'r12', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n2', 'r13', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n2', 'r14', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n2', 'r15', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n2', 'r16', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n2', 'r17', 'n10') and 49 are inside the partition part 2 has 50 edges of type ('n3', 'r18', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n3', 'r19', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n3', 'r20', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n3', 'r21', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n3', 'r22', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n3', 'r23', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n3', 'r24', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r25', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n4', 'r26', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n4', 'r27', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n4', 'r28', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r29', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r30', 'n10') and 49 are inside the partition part 2 has 51 edges of type ('n5', 'r31', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n5', 'r32', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n5', 'r33', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n5', 'r34', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n5', 'r35', 'n10') and 49 are inside the partition part 2 has 51 edges of type ('n6', 'r36', 'n7') and 50 are inside the partition part 2 has 50 edges of type ('n6', 'r37', 'n8') and 49 are inside the partition part 2 has 50 edges of type ('n6', 'r38', 'n9') and 49 are inside the partition part 2 has 50 edges of type ('n6', 'r39', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r40', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r41', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r42', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n8', 'r43', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n8', 'r44', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n9', 'r45', 'n10') and 49 are inside the partition part 3 has 129 nodes of type n1 and 127 are inside the partition part 3 has 123 nodes of type n10 and 118 are inside the partition part 3 has 118 nodes of type n2 and 114 are inside the partition part 3 has 118 nodes of type n3 and 113 are inside the partition part 3 has 117 nodes of type n4 and 114 are inside the partition part 3 has 123 nodes of type n5 and 119 are inside the partition part 3 has 126 nodes of type n6 and 119 are inside the partition part 3 has 124 nodes of type n7 and 118 are inside the partition part 3 has 123 nodes of type n8 and 118 are inside the partition part 3 has 119 nodes of type n9 and 115 are inside the partition part 3 has 54 edges of type ('n1', 'r1', 'n2') and 53 are inside the partition part 3 has 54 edges of type ('n1', 'r2', 'n3') and 52 are inside the partition part 3 has 55 edges of type ('n1', 'r3', 'n4') and 54 are inside the partition part 3 has 55 edges of type ('n1', 'r4', 'n5') and 53 are inside the partition part 3 has 54 edges of type ('n1', 'r5', 'n6') and 52 are inside the partition part 3 has 54 edges of type ('n1', 'r6', 'n7') and 52 are inside the partition part 3 has 54 edges of type ('n1', 'r7', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n1', 'r8', 'n9') and 56 are inside the partition part 3 has 54 edges of type ('n1', 'r9', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n2', 'r10', 'n3') and 52 are inside the partition part 3 has 55 edges of type ('n2', 'r11', 'n4') and 54 are inside the partition part 3 has 54 edges of type ('n2', 'r12', 'n5') and 53 are inside the partition part 3 has 53 edges of type ('n2', 'r13', 'n6') and 52 are inside the partition part 3 has 53 edges of type ('n2', 'r14', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n2', 'r15', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n2', 'r16', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n2', 'r17', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n3', 'r18', 'n4') and 54 are inside the partition part 3 has 54 edges of type ('n3', 'r19', 'n5') and 53 are inside the partition part 3 has 53 edges of type ('n3', 'r20', 'n6') and 52 are inside the partition part 3 has 53 edges of type ('n3', 'r21', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n3', 'r22', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n3', 'r23', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n3', 'r24', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n4', 'r25', 'n5') and 53 are inside the partition part 3 has 55 edges of type ('n4', 'r26', 'n6') and 52 are inside the partition part 3 has 55 edges of type ('n4', 'r27', 'n7') and 52 are inside the partition part 3 has 55 edges of type ('n4', 'r28', 'n8') and 53 are inside the partition part 3 has 57 edges of type ('n4', 'r29', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n4', 'r30', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n5', 'r31', 'n6') and 52 are inside the partition part 3 has 55 edges of type ('n5', 'r32', 'n7') and 52 are inside the partition part 3 has 55 edges of type ('n5', 'r33', 'n8') and 53 are inside the partition part 3 has 58 edges of type ('n5', 'r34', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n5', 'r35', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n6', 'r36', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n6', 'r37', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n6', 'r38', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n6', 'r39', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n7', 'r40', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n7', 'r41', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n7', 'r42', 'n10') and 53 are inside the partition part 3 has 58 edges of type ('n8', 'r43', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n8', 'r44', 'n10') and 53 are inside the partition part 3 has 56 edges of type ('n9', 'r45', 'n10') and 53 are inside the partition Save partitions: 0.038 seconds, peak memory: 0.896 GB There are 11250 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 5%] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-1000-8] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] Adding rdkit-pypi 2022.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/rdkit_pypi-2022.9.1-py3.7-linux-x86_64.egg Searching for PyYAML>=5.1 Reading https://pypi.org/simple/PyYAML/ PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] Converting to homogeneous graph takes 0.008s, peak mem: 0.896 GB Convert a graph into a bidirected graph: 0.003 seconds, peak memory: 0.896 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 0.896 GB [10:38:07] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 90000 edges into 8 parts and get 9120 edge cuts Metis partitioning: 0.043 seconds, peak memory: 0.896 GB Assigning nodes to METIS partitions takes 0.047s, peak mem: 0.896 GB Reshuffle nodes and edges: 0.005 seconds Split the graph: 0.009 seconds Construct subgraphs: 0.016 seconds Splitting the graph into partitions takes 0.030s, peak mem: 0.896 GB part 0 has 174 nodes of type n1 and 129 are inside the partition part 0 has 184 nodes of type n10 and 129 are inside the partition part 0 has 183 nodes of type n2 and 129 are inside the partition part 0 has 182 nodes of type n3 and 129 are inside the partition part 0 has 186 nodes of type n4 and 129 are inside the partition part 0 has 185 nodes of type n5 and 129 are inside the partition part 0 has 187 nodes of type n6 and 129 are inside the partition part 0 has 189 nodes of type n7 and 129 are inside the partition part 0 has 197 nodes of type n8 and 129 are inside the partition part 0 has 198 nodes of type n9 and 128 are inside the partition part 0 has 156 edges of type ('n1', 'r1', 'n2') and 120 are inside the partition part 0 has 153 edges of type ('n1', 'r2', 'n3') and 125 are inside the partition part 0 has 148 edges of type ('n1', 'r3', 'n4') and 119 are inside the partition part 0 has 146 edges of type ('n1', 'r4', 'n5') and 127 are inside the partition part 0 has 140 edges of type ('n1', 'r5', 'n6') and 120 are inside the partition part 0 has 151 edges of type ('n1', 'r6', 'n7') and 131 are inside the partition part 0 has 143 edges of type ('n1', 'r7', 'n8') and 127 are inside the partition part 0 has 142 edges of type ('n1', 'r8', 'n9') and 120 are inside the partition part 0 has 144 edges of type ('n1', 'r9', 'n10') and 122 are inside the partition part 0 has 155 edges of type ('n2', 'r10', 'n3') and 125 are inside the partition part 0 has 149 edges of type ('n2', 'r11', 'n4') and 119 are inside the partition part 0 has 150 edges of type ('n2', 'r12', 'n5') and 127 are inside the partition part 0 has 144 edges of type ('n2', 'r13', 'n6') and 120 are inside the partition part 0 has 147 edges of type ('n2', 'r14', 'n7') and 131 are inside the partition part 0 has 141 edges of type ('n2', 'r15', 'n8') and 127 are inside the partition part 0 has 141 edges of type ('n2', 'r16', 'n9') and 120 are inside the partition part 0 has 146 edges of type ('n2', 'r17', 'n10') and 122 are inside the partition part 0 has 146 edges of type ('n3', 'r18', 'n4') and 119 are inside the partition part 0 has 150 edges of type ('n3', 'r19', 'n5') and 127 are inside the partition part 0 has 139 edges of type ('n3', 'r20', 'n6') and 120 are inside the partition part 0 has 143 edges of type ('n3', 'r21', 'n7') and 131 are inside the partition part 0 has 139 edges of type ('n3', 'r22', 'n8') and 127 are inside the partition part 0 has 138 edges of type ('n3', 'r23', 'n9') and 120 are inside the partition part 0 has 140 edges of type ('n3', 'r24', 'n10') and 122 are inside the partition part 0 has 152 edges of type ('n4', 'r25', 'n5') and 127 are inside the partition part 0 has 141 edges of type ('n4', 'r26', 'n6') and 120 are inside the partition part 0 has 144 edges of type ('n4', 'r27', 'n7') and 131 are inside the partition part 0 has 141 edges of type ('n4', 'r28', 'n8') and 127 are inside the partition part 0 has 140 edges of type ('n4', 'r29', 'n9') and 120 are inside the partition part 0 has 140 edges of type ('n4', 'r30', 'n10') and 122 are inside the partition part 0 has 142 edges of type ('n5', 'r31', 'n6') and 120 are inside the partition part 0 has 147 edges of type ('n5', 'r32', 'n7') and 131 are inside the partition part 0 has 146 edges of type ('n5', 'r33', 'n8') and 127 are inside the partition part 0 has 140 edges of type ('n5', 'r34', 'n9') and 120 are inside the partition part 0 has 142 edges of type ('n5', 'r35', 'n10') and 122 are inside the partition part 0 has 156 edges of type ('n6', 'r36', 'n7') and 131 are inside the partition part 0 has 152 edges of type ('n6', 'r37', 'n8') and 127 are inside the partition part 0 has 150 edges of type ('n6', 'r38', 'n9') and 120 are inside the partition part 0 has 148 edges of type ('n6', 'r39', 'n10') and 122 are inside the partition part 0 has 160 edges of type ('n7', 'r40', 'n8') and 127 are inside the partition part 0 has 160 edges of type ('n7', 'r41', 'n9') and 120 are inside the partition part 0 has 158 edges of type ('n7', 'r42', 'n10') and 122 are inside the partition part 0 has 156 edges of type ('n8', 'r43', 'n9') and 120 are inside the partition part 0 has 152 edges of type ('n8', 'r44', 'n10') and 122 are inside the partition part 0 has 146 edges of type ('n9', 'r45', 'n10') and 122 are inside the partition part 1 has 196 nodes of type n1 and 109 are inside the partition part 1 has 190 nodes of type n10 and 112 are inside the partition part 1 has 193 nodes of type n2 and 107 are inside the partition part 1 has 199 nodes of type n3 and 111 are inside the partition part 1 has 195 nodes of type n4 and 109 are inside the partition part 1 has 198 nodes of type n5 and 113 are inside the partition part 1 has 200 nodes of type n6 and 108 are inside the partition part 1 has 208 nodes of type n7 and 113 are inside the partition part 1 has 196 nodes of type n8 and 105 are inside the partition part 1 has 197 nodes of type n9 and 113 are inside the partition part 1 has 139 edges of type ('n1', 'r1', 'n2') and 112 are inside the partition part 1 has 141 edges of type ('n1', 'r2', 'n3') and 114 are inside the partition part 1 has 134 edges of type ('n1', 'r3', 'n4') and 116 are inside the partition part 1 has 125 edges of type ('n1', 'r4', 'n5') and 109 are inside the partition part 1 has 122 edges of type ('n1', 'r5', 'n6') and 111 are inside the partition part 1 has 121 edges of type ('n1', 'r6', 'n7') and 107 are inside the partition part 1 has 124 edges of type ('n1', 'r7', 'n8') and 109 are inside the partition part 1 has 129 edges of type ('n1', 'r8', 'n9') and 115 are inside the partition part 1 has 121 edges of type ('n1', 'r9', 'n10') and 108 are inside the partition part 1 has 149 edges of type ('n2', 'r10', 'n3') and 114 are inside the partition part 1 has 140 edges of type ('n2', 'r11', 'n4') and 116 are inside the partition part 1 has 137 edges of type ('n2', 'r12', 'n5') and 109 are inside the partition part 1 has 133 edges of type ('n2', 'r13', 'n6') and 111 are inside the partition part 1 has 127 edges of type ('n2', 'r14', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n2', 'r15', 'n8') and 109 are inside the partition part 1 has 136 edges of type ('n2', 'r16', 'n9') and 115 are inside the partition part 1 has 132 edges of type ('n2', 'r17', 'n10') and 108 are inside the partition part 1 has 141 edges of type ('n3', 'r18', 'n4') and 116 are inside the partition part 1 has 133 edges of type ('n3', 'r19', 'n5') and 109 are inside the partition part 1 has 128 edges of type ('n3', 'r20', 'n6') and 111 are inside the partition part 1 has 125 edges of type ('n3', 'r21', 'n7') and 107 are inside the partition part 1 has 126 edges of type ('n3', 'r22', 'n8') and 109 are inside the partition part 1 has 130 edges of type ('n3', 'r23', 'n9') and 115 are inside the partition part 1 has 123 edges of type ('n3', 'r24', 'n10') and 108 are inside the partition part 1 has 138 edges of type ('n4', 'r25', 'n5') and 109 are inside the partition part 1 has 134 edges of type ('n4', 'r26', 'n6') and 111 are inside the partition part 1 has 130 edges of type ('n4', 'r27', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n4', 'r28', 'n8') and 109 are inside the partition part 1 has 137 edges of type ('n4', 'r29', 'n9') and 115 are inside the partition part 1 has 130 edges of type ('n4', 'r30', 'n10') and 108 are inside the partition part 1 has 145 edges of type ('n5', 'r31', 'n6') and 111 are inside the partition part 1 has 138 edges of type ('n5', 'r32', 'n7') and 107 are inside the partition part 1 has 138 edges of type ('n5', 'r33', 'n8') and 109 are inside the partition part 1 has 141 edges of type ('n5', 'r34', 'n9') and 115 are inside the partition part 1 has 137 edges of type ('n5', 'r35', 'n10') and 108 are inside the partition part 1 has 132 edges of type ('n6', 'r36', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n6', 'r37', 'n8') and 109 are inside the partition part 1 has 136 edges of type ('n6', 'r38', 'n9') and 115 are inside the partition part 1 has 130 edges of type ('n6', 'r39', 'n10') and 108 are inside the partition part 1 has 134 edges of type ('n7', 'r40', 'n8') and 109 are inside the partition part 1 has 138 edges of type ('n7', 'r41', 'n9') and 115 are inside the partition part 1 has 133 edges of type ('n7', 'r42', 'n10') and 108 are inside the partition part 1 has 142 edges of type ('n8', 'r43', 'n9') and 115 are inside the partition part 1 has 133 edges of type ('n8', 'r44', 'n10') and 108 are inside the partition part 1 has 139 edges of type ('n9', 'r45', 'n10') and 108 are inside the partition part 2 has 194 nodes of type n1 and 129 are inside the partition part 2 has 181 nodes of type n10 and 121 are inside the partition part 2 has 201 nodes of type n2 and 129 are inside the partition part 2 has 213 nodes of type n3 and 129 are inside the partition part 2 has 210 nodes of type n4 and 129 are inside the partition part 2 has 204 nodes of type n5 and 129 are inside the partition part 2 has 203 nodes of type n6 and 128 are inside the partition part 2 has 206 nodes of type n7 and 123 are inside the partition part 2 has 200 nodes of type n8 and 125 are inside the partition part 2 has 213 nodes of type n9 and 127 are inside the partition part 2 has 144 edges of type ('n1', 'r1', 'n2') and 120 are inside the partition part 2 has 135 edges of type ('n1', 'r2', 'n3') and 106 are inside the partition part 2 has 134 edges of type ('n1', 'r3', 'n4') and 110 are inside the partition part 2 has 132 edges of type ('n1', 'r4', 'n5') and 115 are inside the partition part 2 has 131 edges of type ('n1', 'r5', 'n6') and 112 are inside the partition part 2 has 128 edges of type ('n1', 'r6', 'n7') and 108 are inside the partition part 2 has 132 edges of type ('n1', 'r7', 'n8') and 116 are inside the partition part 2 has 131 edges of type ('n1', 'r8', 'n9') and 108 are inside the partition part 2 has 139 edges of type ('n1', 'r9', 'n10') and 123 are inside the partition part 2 has 138 edges of type ('n2', 'r10', 'n3') and 106 are inside the partition part 2 has 138 edges of type ('n2', 'r11', 'n4') and 110 are inside the partition part 2 has 138 edges of type ('n2', 'r12', 'n5') and 115 are inside the partition part 2 has 134 edges of type ('n2', 'r13', 'n6') and 112 are inside the partition part 2 has 126 edges of type ('n2', 'r14', 'n7') and 108 are inside the partition part 2 has 129 edges of type ('n2', 'r15', 'n8') and 116 are inside the partition part 2 has 130 edges of type ('n2', 'r16', 'n9') and 108 are inside the partition part 2 has 143 edges of type ('n2', 'r17', 'n10') and 123 are inside the partition part 2 has 142 edges of type ('n3', 'r18', 'n4') and 110 are inside the partition part 2 has 141 edges of type ('n3', 'r19', 'n5') and 115 are inside the partition part 2 has 135 edges of type ('n3', 'r20', 'n6') and 112 are inside the partition part 2 has 127 edges of type ('n3', 'r21', 'n7') and 108 are inside the partition part 2 has 129 edges of type ('n3', 'r22', 'n8') and 116 are inside the partition part 2 has 130 edges of type ('n3', 'r23', 'n9') and 108 are inside the partition part 2 has 140 edges of type ('n3', 'r24', 'n10') and 123 are inside the partition part 2 has 142 edges of type ('n4', 'r25', 'n5') and 115 are inside the partition part 2 has 137 edges of type ('n4', 'r26', 'n6') and 112 are inside the partition part 2 has 131 edges of type ('n4', 'r27', 'n7') and 108 are inside the partition part 2 has 133 edges of type ('n4', 'r28', 'n8') and 116 are inside the partition part 2 has 131 edges of type ('n4', 'r29', 'n9') and 108 are inside the partition part 2 has 142 edges of type ('n4', 'r30', 'n10') and 123 are inside the partition part 2 has 143 edges of type ('n5', 'r31', 'n6') and 112 are inside the partition part 2 has 133 edges of type ('n5', 'r32', 'n7') and 108 are inside the partition part 2 has 135 edges of type ('n5', 'r33', 'n8') and 116 are inside the partition part 2 has 132 edges of type ('n5', 'r34', 'n9') and 108 are inside the partition part 2 has 142 edges of type ('n5', 'r35', 'n10') and 123 are inside the partition part 2 has 140 edges of type ('n6', 'r36', 'n7') and 108 are inside the partition part 2 has 142 edges of type ('n6', 'r37', 'n8') and 116 are inside the partition part 2 has 138 edges of type ('n6', 'r38', 'n9') and 108 are inside the partition part 2 has 146 edges of type ('n6', 'r39', 'n10') and 123 are inside the partition part 2 has 141 edges of type ('n7', 'r40', 'n8') and 116 are inside the partition part 2 has 136 edges of type ('n7', 'r41', 'n9') and 108 are inside the partition part 2 has 147 edges of type ('n7', 'r42', 'n10') and 123 are inside the partition part 2 has 148 edges of type ('n8', 'r43', 'n9') and 108 are inside the partition part 2 has 154 edges of type ('n8', 'r44', 'n10') and 123 are inside the partition part 2 has 155 edges of type ('n9', 'r45', 'n10') and 123 are inside the partition part 3 has 190 nodes of type n1 and 121 are inside the partition part 3 has 194 nodes of type n10 and 127 are inside the partition part 3 has 190 nodes of type n2 and 124 are inside the partition part 3 has 197 nodes of type n3 and 124 are inside the partition part 3 has 193 nodes of type n4 and 127 are inside the partition part 3 has 197 nodes of type n5 and 128 are inside the partition part 3 has 197 nodes of type n6 and 124 are inside the partition part 3 has 198 nodes of type n7 and 123 are inside the partition part 3 has 207 nodes of type n8 and 127 are inside the partition part 3 has 200 nodes of type n9 and 121 are inside the partition part 3 has 146 edges of type ('n1', 'r1', 'n2') and 128 are inside the partition part 3 has 134 edges of type ('n1', 'r2', 'n3') and 109 are inside the partition part 3 has 139 edges of type ('n1', 'r3', 'n4') and 127 are inside the partition part 3 has 133 edges of type ('n1', 'r4', 'n5') and 123 are inside the partition part 3 has 130 edges of type ('n1', 'r5', 'n6') and 124 are inside the partition part 3 has 128 edges of type ('n1', 'r6', 'n7') and 120 are inside the partition part 3 has 128 edges of type ('n1', 'r7', 'n8') and 121 are inside the partition part 3 has 133 edges of type ('n1', 'r8', 'n9') and 118 are inside the partition part 3 has 130 edges of type ('n1', 'r9', 'n10') and 117 are inside the partition part 3 has 142 edges of type ('n2', 'r10', 'n3') and 109 are inside the partition part 3 has 144 edges of type ('n2', 'r11', 'n4') and 127 are inside the partition part 3 has 139 edges of type ('n2', 'r12', 'n5') and 123 are inside the partition part 3 has 138 edges of type ('n2', 'r13', 'n6') and 124 are inside the partition part 3 has 134 edges of type ('n2', 'r14', 'n7') and 120 are inside the partition part 3 has 134 edges of type ('n2', 'r15', 'n8') and 121 are inside the partition part 3 has 140 edges of type ('n2', 'r16', 'n9') and 118 are inside the partition part 3 has 134 edges of type ('n2', 'r17', 'n10') and 117 are inside the partition part 3 has 151 edges of type ('n3', 'r18', 'n4') and 127 are inside the partition part 3 has 145 edges of type ('n3', 'r19', 'n5') and 123 are inside the partition part 3 has 140 edges of type ('n3', 'r20', 'n6') and 124 are inside the partition part 3 has 134 edges of type ('n3', 'r21', 'n7') and 120 are inside the partition part 3 has 136 edges of type ('n3', 'r22', 'n8') and 121 are inside the partition part 3 has 139 edges of type ('n3', 'r23', 'n9') and 118 are inside the partition part 3 has 137 edges of type ('n3', 'r24', 'n10') and 117 are inside the partition part 3 has 145 edges of type ('n4', 'r25', 'n5') and 123 are inside the partition part 3 has 143 edges of type ('n4', 'r26', 'n6') and 124 are inside the partition part 3 has 135 edges of type ('n4', 'r27', 'n7') and 120 are inside the partition part 3 has 137 edges of type ('n4', 'r28', 'n8') and 121 are inside the partition part 3 has 143 edges of type ('n4', 'r29', 'n9') and 118 are inside the partition part 3 has 138 edges of type ('n4', 'r30', 'n10') and 117 are inside the partition part 3 has 149 edges of type ('n5', 'r31', 'n6') and 124 are inside the partition part 3 has 142 edges of type ('n5', 'r32', 'n7') and 120 are inside the partition part 3 has 144 edges of type ('n5', 'r33', 'n8') and 121 are inside the partition part 3 has 147 edges of type ('n5', 'r34', 'n9') and 118 are inside the partition part 3 has 143 edges of type ('n5', 'r35', 'n10') and 117 are inside the partition part 3 has 144 edges of type ('n6', 'r36', 'n7') and 120 are inside the partition part 3 has 147 edges of type ('n6', 'r37', 'n8') and 121 are inside the partition part 3 has 154 edges of type ('n6', 'r38', 'n9') and 118 are inside the partition part 3 has 148 edges of type ('n6', 'r39', 'n10') and 117 are inside the partition part 3 has 152 edges of type ('n7', 'r40', 'n8') and 121 are inside the partition part 3 has 157 edges of type ('n7', 'r41', 'n9') and 118 are inside the partition part 3 has 151 edges of type ('n7', 'r42', 'n10') and 117 are inside the partition part 3 has 154 edges of type ('n8', 'r43', 'n9') and 118 are inside the partition part 3 has 146 edges of type ('n8', 'r44', 'n10') and 117 are inside the partition part 3 has 151 edges of type ('n9', 'r45', 'n10') and 117 are inside the partition part 4 has 200 nodes of type n1 and 128 are inside the partition part 4 has 219 nodes of type n10 and 129 are inside the partition part 4 has 219 nodes of type n2 and 129 are inside the partition part 4 has 214 nodes of type n3 and 129 are inside the partition part 4 has 223 nodes of type n4 and 129 are inside the partition part 4 has 219 nodes of type n5 and 124 are inside the partition part 4 has 226 nodes of type n6 and 128 are inside the partition part 4 has 233 nodes of type n7 and 129 are inside the partition part 4 has 232 nodes of type n8 and 128 are inside the partition part 4 has 226 nodes of type n9 and 126 are inside the partition part 4 has 164 edges of type ('n1', 'r1', 'n2') and 132 are inside the partition part 4 has 172 edges of type ('n1', 'r2', 'n3') and 145 are inside the partition part 4 has 162 edges of type ('n1', 'r3', 'n4') and 132 are inside the partition part 4 has 158 edges of type ('n1', 'r4', 'n5') and 133 are inside the partition part 4 has 159 edges of type ('n1', 'r5', 'n6') and 138 are inside the partition part 4 has 167 edges of type ('n1', 'r6', 'n7') and 142 are inside the partition part 4 has 159 edges of type ('n1', 'r7', 'n8') and 142 are inside the partition part 4 has 163 edges of type ('n1', 'r8', 'n9') and 136 are inside the partition part 4 has 155 edges of type ('n1', 'r9', 'n10') and 129 are inside the partition part 4 has 181 edges of type ('n2', 'r10', 'n3') and 145 are inside the partition part 4 has 169 edges of type ('n2', 'r11', 'n4') and 132 are inside the partition part 4 has 169 edges of type ('n2', 'r12', 'n5') and 133 are inside the partition part 4 has 169 edges of type ('n2', 'r13', 'n6') and 138 are inside the partition part 4 has 172 edges of type ('n2', 'r14', 'n7') and 142 are inside the partition part 4 has 168 edges of type ('n2', 'r15', 'n8') and 142 are inside the partition part 4 has 170 edges of type ('n2', 'r16', 'n9') and 136 are inside the partition part 4 has 164 edges of type ('n2', 'r17', 'n10') and 129 are inside the partition part 4 has 172 edges of type ('n3', 'r18', 'n4') and 132 are inside the partition part 4 has 167 edges of type ('n3', 'r19', 'n5') and 133 are inside the partition part 4 has 167 edges of type ('n3', 'r20', 'n6') and 138 are inside the partition part 4 has 173 edges of type ('n3', 'r21', 'n7') and 142 are inside the partition part 4 has 165 edges of type ('n3', 'r22', 'n8') and 142 are inside the partition part 4 has 169 edges of type ('n3', 'r23', 'n9') and 136 are inside the partition part 4 has 158 edges of type ('n3', 'r24', 'n10') and 129 are inside the partition part 4 has 173 edges of type ('n4', 'r25', 'n5') and 133 are inside the partition part 4 has 170 edges of type ('n4', 'r26', 'n6') and 138 are inside the partition part 4 has 173 edges of type ('n4', 'r27', 'n7') and 142 are inside the partition part 4 has 168 edges of type ('n4', 'r28', 'n8') and 142 are inside the partition part 4 has 173 edges of type ('n4', 'r29', 'n9') and 136 are inside the partition part 4 has 163 edges of type ('n4', 'r30', 'n10') and 129 are inside the partition part 4 has 180 edges of type ('n5', 'r31', 'n6') and 138 are inside the partition part 4 has 184 edges of type ('n5', 'r32', 'n7') and 142 are inside the partition part 4 has 174 edges of type ('n5', 'r33', 'n8') and 142 are inside the partition part 4 has 180 edges of type ('n5', 'r34', 'n9') and 136 are inside the partition part 4 has 172 edges of type ('n5', 'r35', 'n10') and 129 are inside the partition part 4 has 182 edges of type ('n6', 'r36', 'n7') and 142 are inside the partition part 4 has 180 edges of type ('n6', 'r37', 'n8') and 142 are inside the partition part 4 has 180 edges of type ('n6', 'r38', 'n9') and 136 are inside the partition part 4 has 172 edges of type ('n6', 'r39', 'n10') and 129 are inside the partition part 4 has 181 edges of type ('n7', 'r40', 'n8') and 142 are inside the partition part 4 has 187 edges of type ('n7', 'r41', 'n9') and 136 are inside the partition part 4 has 175 edges of type ('n7', 'r42', 'n10') and 129 are inside the partition part 4 has 184 edges of type ('n8', 'r43', 'n9') and 136 are inside the partition part 4 has 174 edges of type ('n8', 'r44', 'n10') and 129 are inside the partition part 4 has 171 edges of type ('n9', 'r45', 'n10') and 129 are inside the partition part 5 has 180 nodes of type n1 and 129 are inside the partition part 5 has 196 nodes of type n10 and 129 are inside the partition part 5 has 210 nodes of type n2 and 127 are inside the partition part 5 has 208 nodes of type n3 and 127 are inside the partition part 5 has 205 nodes of type n4 and 125 are inside the partition part 5 has 191 nodes of type n5 and 126 are inside the partition part 5 has 198 nodes of type n6 and 128 are inside the partition part 5 has 202 nodes of type n7 and 127 are inside the partition part 5 has 196 nodes of type n8 and 128 are inside the partition part 5 has 208 nodes of type n9 and 129 are inside the partition part 5 has 171 edges of type ('n1', 'r1', 'n2') and 128 are inside the partition part 5 has 170 edges of type ('n1', 'r2', 'n3') and 137 are inside the partition part 5 has 169 edges of type ('n1', 'r3', 'n4') and 135 are inside the partition part 5 has 165 edges of type ('n1', 'r4', 'n5') and 142 are inside the partition part 5 has 164 edges of type ('n1', 'r5', 'n6') and 135 are inside the partition part 5 has 157 edges of type ('n1', 'r6', 'n7') and 129 are inside the partition part 5 has 159 edges of type ('n1', 'r7', 'n8') and 132 are inside the partition part 5 has 156 edges of type ('n1', 'r8', 'n9') and 129 are inside the partition part 5 has 160 edges of type ('n1', 'r9', 'n10') and 134 are inside the partition part 5 has 168 edges of type ('n2', 'r10', 'n3') and 137 are inside the partition part 5 has 164 edges of type ('n2', 'r11', 'n4') and 135 are inside the partition part 5 has 165 edges of type ('n2', 'r12', 'n5') and 142 are inside the partition part 5 has 158 edges of type ('n2', 'r13', 'n6') and 135 are inside the partition part 5 has 152 edges of type ('n2', 'r14', 'n7') and 129 are inside the partition part 5 has 152 edges of type ('n2', 'r15', 'n8') and 132 are inside the partition part 5 has 150 edges of type ('n2', 'r16', 'n9') and 129 are inside the partition part 5 has 152 edges of type ('n2', 'r17', 'n10') and 134 are inside the partition part 5 has 170 edges of type ('n3', 'r18', 'n4') and 135 are inside the partition part 5 has 168 edges of type ('n3', 'r19', 'n5') and 142 are inside the partition part 5 has 159 edges of type ('n3', 'r20', 'n6') and 135 are inside the partition part 5 has 154 edges of type ('n3', 'r21', 'n7') and 129 are inside the partition part 5 has 155 edges of type ('n3', 'r22', 'n8') and 132 are inside the partition part 5 has 152 edges of type ('n3', 'r23', 'n9') and 129 are inside the partition part 5 has 151 edges of type ('n3', 'r24', 'n10') and 134 are inside the partition part 5 has 164 edges of type ('n4', 'r25', 'n5') and 142 are inside the partition part 5 has 155 edges of type ('n4', 'r26', 'n6') and 135 are inside the partition part 5 has 151 edges of type ('n4', 'r27', 'n7') and 129 are inside the partition part 5 has 150 edges of type ('n4', 'r28', 'n8') and 132 are inside the partition part 5 has 149 edges of type ('n4', 'r29', 'n9') and 129 are inside the partition part 5 has 148 edges of type ('n4', 'r30', 'n10') and 134 are inside the partition part 5 has 169 edges of type ('n5', 'r31', 'n6') and 135 are inside the partition part 5 has 166 edges of type ('n5', 'r32', 'n7') and 129 are inside the partition part 5 has 163 edges of type ('n5', 'r33', 'n8') and 132 are inside the partition part 5 has 159 edges of type ('n5', 'r34', 'n9') and 129 are inside the partition part 5 has 160 edges of type ('n5', 'r35', 'n10') and 134 are inside the partition part 5 has 168 edges of type ('n6', 'r36', 'n7') and 129 are inside the partition part 5 has 167 edges of type ('n6', 'r37', 'n8') and 132 are inside the partition part 5 has 161 edges of type ('n6', 'r38', 'n9') and 129 are inside the partition part 5 has 163 edges of type ('n6', 'r39', 'n10') and 134 are inside the partition part 5 has 160 edges of type ('n7', 'r40', 'n8') and 132 are inside the partition part 5 has 156 edges of type ('n7', 'r41', 'n9') and 129 are inside the partition part 5 has 157 edges of type ('n7', 'r42', 'n10') and 134 are inside the partition part 5 has 166 edges of type ('n8', 'r43', 'n9') and 129 are inside the partition part 5 has 165 edges of type ('n8', 'r44', 'n10') and 134 are inside the partition part 5 has 166 edges of type ('n9', 'r45', 'n10') and 134 are inside the partition part 6 has 199 nodes of type n1 and 126 are inside the partition part 6 has 188 nodes of type n10 and 124 are inside the partition part 6 has 213 nodes of type n2 and 126 are inside the partition part 6 has 200 nodes of type n3 and 123 are inside the partition part 6 has 203 nodes of type n4 and 126 are inside the partition part 6 has 209 nodes of type n5 and 122 are inside the partition part 6 has 214 nodes of type n6 and 127 are inside the partition part 6 has 209 nodes of type n7 and 127 are inside the partition part 6 has 222 nodes of type n8 and 129 are inside the partition part 6 has 209 nodes of type n9 and 127 are inside the partition part 6 has 150 edges of type ('n1', 'r1', 'n2') and 112 are inside the partition part 6 has 151 edges of type ('n1', 'r2', 'n3') and 117 are inside the partition part 6 has 141 edges of type ('n1', 'r3', 'n4') and 113 are inside the partition part 6 has 130 edges of type ('n1', 'r4', 'n5') and 102 are inside the partition part 6 has 130 edges of type ('n1', 'r5', 'n6') and 103 are inside the partition part 6 has 136 edges of type ('n1', 'r6', 'n7') and 114 are inside the partition part 6 has 135 edges of type ('n1', 'r7', 'n8') and 108 are inside the partition part 6 has 146 edges of type ('n1', 'r8', 'n9') and 124 are inside the partition part 6 has 152 edges of type ('n1', 'r9', 'n10') and 129 are inside the partition part 6 has 147 edges of type ('n2', 'r10', 'n3') and 117 are inside the partition part 6 has 139 edges of type ('n2', 'r11', 'n4') and 113 are inside the partition part 6 has 129 edges of type ('n2', 'r12', 'n5') and 102 are inside the partition part 6 has 130 edges of type ('n2', 'r13', 'n6') and 103 are inside the partition part 6 has 133 edges of type ('n2', 'r14', 'n7') and 114 are inside the partition part 6 has 130 edges of type ('n2', 'r15', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n2', 'r16', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n2', 'r17', 'n10') and 129 are inside the partition part 6 has 142 edges of type ('n3', 'r18', 'n4') and 113 are inside the partition part 6 has 131 edges of type ('n3', 'r19', 'n5') and 102 are inside the partition part 6 has 131 edges of type ('n3', 'r20', 'n6') and 103 are inside the partition part 6 has 135 edges of type ('n3', 'r21', 'n7') and 114 are inside the partition part 6 has 133 edges of type ('n3', 'r22', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n3', 'r23', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n3', 'r24', 'n10') and 129 are inside the partition part 6 has 128 edges of type ('n4', 'r25', 'n5') and 102 are inside the partition part 6 has 129 edges of type ('n4', 'r26', 'n6') and 103 are inside the partition part 6 has 129 edges of type ('n4', 'r27', 'n7') and 114 are inside the partition part 6 has 126 edges of type ('n4', 'r28', 'n8') and 108 are inside the partition part 6 has 138 edges of type ('n4', 'r29', 'n9') and 124 are inside the partition part 6 has 146 edges of type ('n4', 'r30', 'n10') and 129 are inside the partition part 6 has 133 edges of type ('n5', 'r31', 'n6') and 103 are inside the partition part 6 has 134 edges of type ('n5', 'r32', 'n7') and 114 are inside the partition part 6 has 131 edges of type ('n5', 'r33', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n5', 'r34', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n5', 'r35', 'n10') and 129 are inside the partition part 6 has 140 edges of type ('n6', 'r36', 'n7') and 114 are inside the partition part 6 has 137 edges of type ('n6', 'r37', 'n8') and 108 are inside the partition part 6 has 145 edges of type ('n6', 'r38', 'n9') and 124 are inside the partition part 6 has 153 edges of type ('n6', 'r39', 'n10') and 129 are inside the partition part 6 has 146 edges of type ('n7', 'r40', 'n8') and 108 are inside the partition part 6 has 156 edges of type ('n7', 'r41', 'n9') and 124 are inside the partition part 6 has 166 edges of type ('n7', 'r42', 'n10') and 129 are inside the partition part 6 has 154 edges of type ('n8', 'r43', 'n9') and 124 are inside the partition part 6 has 160 edges of type ('n8', 'r44', 'n10') and 129 are inside the partition part 6 has 171 edges of type ('n9', 'r45', 'n10') and 129 are inside the partition part 7 has 190 nodes of type n1 and 129 are inside the partition part 7 has 195 nodes of type n10 and 129 are inside the partition part 7 has 198 nodes of type n2 and 129 are inside the partition part 7 has 205 nodes of type n3 and 128 are inside the partition part 7 has 206 nodes of type n4 and 126 are inside the partition part 7 has 212 nodes of type n5 and 129 are inside the partition part 7 has 207 nodes of type n6 and 128 are inside the partition part 7 has 213 nodes of type n7 and 129 are inside the partition part 7 has 214 nodes of type n8 and 129 are inside the partition part 7 has 202 nodes of type n9 and 129 are inside the partition part 7 has 183 edges of type ('n1', 'r1', 'n2') and 148 are inside the partition part 7 has 174 edges of type ('n1', 'r2', 'n3') and 147 are inside the partition part 7 has 176 edges of type ('n1', 'r3', 'n4') and 148 are inside the partition part 7 has 169 edges of type ('n1', 'r4', 'n5') and 149 are inside the partition part 7 has 173 edges of type ('n1', 'r5', 'n6') and 157 are inside the partition part 7 has 171 edges of type ('n1', 'r6', 'n7') and 149 are inside the partition part 7 has 166 edges of type ('n1', 'r7', 'n8') and 145 are inside the partition part 7 has 171 edges of type ('n1', 'r8', 'n9') and 150 are inside the partition part 7 has 169 edges of type ('n1', 'r9', 'n10') and 138 are inside the partition part 7 has 176 edges of type ('n2', 'r10', 'n3') and 147 are inside the partition part 7 has 179 edges of type ('n2', 'r11', 'n4') and 148 are inside the partition part 7 has 175 edges of type ('n2', 'r12', 'n5') and 149 are inside the partition part 7 has 179 edges of type ('n2', 'r13', 'n6') and 157 are inside the partition part 7 has 174 edges of type ('n2', 'r14', 'n7') and 149 are inside the partition part 7 has 172 edges of type ('n2', 'r15', 'n8') and 145 are inside the partition part 7 has 177 edges of type ('n2', 'r16', 'n9') and 150 are inside the partition part 7 has 173 edges of type ('n2', 'r17', 'n10') and 138 are inside the partition part 7 has 181 edges of type ('n3', 'r18', 'n4') and 148 are inside the partition part 7 has 173 edges of type ('n3', 'r19', 'n5') and 149 are inside the partition part 7 has 178 edges of type ('n3', 'r20', 'n6') and 157 are inside the partition part 7 has 171 edges of type ('n3', 'r21', 'n7') and 149 are inside the partition part 7 has 170 edges of type ('n3', 'r22', 'n8') and 145 are inside the partition part 7 has 170 edges of type ('n3', 'r23', 'n9') and 150 are inside the partition part 7 has 164 edges of type ('n3', 'r24', 'n10') and 138 are inside the partition part 7 has 173 edges of type ('n4', 'r25', 'n5') and 149 are inside the partition part 7 has 180 edges of type ('n4', 'r26', 'n6') and 157 are inside the partition part 7 has 169 edges of type ('n4', 'r27', 'n7') and 149 are inside the partition part 7 has 166 edges of type ('n4', 'r28', 'n8') and 145 are inside the partition part 7 has 168 edges of type ('n4', 'r29', 'n9') and 150 are inside the partition part 7 has 165 edges of type ('n4', 'r30', 'n10') and 138 are inside the partition part 7 has 182 edges of type ('n5', 'r31', 'n6') and 157 are inside the partition part 7 has 175 edges of type ('n5', 'r32', 'n7') and 149 are inside the partition part 7 has 169 edges of type ('n5', 'r33', 'n8') and 145 are inside the partition part 7 has 168 edges of type ('n5', 'r34', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n5', 'r35', 'n10') and 138 are inside the partition part 7 has 173 edges of type ('n6', 'r36', 'n7') and 149 are inside the partition part 7 has 171 edges of type ('n6', 'r37', 'n8') and 145 are inside the partition part 7 has 169 edges of type ('n6', 'r38', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n6', 'r39', 'n10') and 138 are inside the partition part 7 has 179 edges of type ('n7', 'r40', 'n8') and 145 are inside the partition part 7 has 175 edges of type ('n7', 'r41', 'n9') and 150 are inside the partition part 7 has 171 edges of type ('n7', 'r42', 'n10') and 138 are inside the partition part 7 has 170 edges of type ('n8', 'r43', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n8', 'r44', 'n10') and 138 are inside the partition part 7 has 176 edges of type ('n9', 'r45', 'n10') and 138 are inside the partition Save partitions: 0.083 seconds, peak memory: 0.896 GB There are 45000 edges in the graph and 0 edge cuts for 8 partitions. PASSED [ 8%] tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[100-2] Converting to homogeneous graph takes 0.001s, peak mem: 0.896 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 0.896 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 0.896 GB [10:38:07] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 100 nodes and 20 edges into 2 parts and get 0 edge cuts Metis partitioning: 0.000 seconds, peak memory: 0.896 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 0.896 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.002s, peak mem: 0.896 GB part 0 has 51 nodes and 51 are inside the partition part 0 has 9 edges and 9 are inside the partition part 1 has 49 nodes and 49 are inside the partition part 1 has 1 edges and 1 are inside the partition Save partitions: 0.002 seconds, peak memory: 0.896 GB There are 10 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 10%] tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[500-4] Converting to homogeneous graph takes 0.001s, peak mem: 0.896 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 0.896 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 0.896 GB [10:38:07] /root/jenkins/workspace/dgl_PR-4814/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 500 nodes and 100 edges into 4 parts and get 1 edge cuts Metis partitioning: 0.000 seconds, peak memory: 0.896 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 0.896 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 0.896 GB part 0 has 126 nodes and 125 are inside the partition part 0 has 21 edges and 20 are inside the partition part 1 has 125 nodes and 125 are inside the partition part 1 has 14 edges and 14 are inside the partition part 2 has 126 nodes and 125 are inside the partition part 2 has 10 edges and 10 are inside the partition part 3 has 125 nodes and 125 are inside the partition part 3 has 6 edges and 6 are inside the partition Save partitions: 0.004 seconds, peak memory: 0.896 GB There are 50 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 13%] tests/tools/test_dist_part.py::test_chunk_graph[1] Done with creating chunked graph PASSED [ 16%] tests/tools/test_dist_part.py::test_chunk_graph[8] Done with creating chunked graph PASSED [ 18%] tests/tools/test_dist_part.py::test_pipeline_basics[1-1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] Done with creating chunked graph PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] 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 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] 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 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] 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/ INFO:root:Changing directory to /tmp/tmpjvu9euvc/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 25%] 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] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpjvu9euvc/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpjvu9euvc/parted_data --input-dir /tmp/tmpjvu9euvc/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpjvu9euvc/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpjvu9euvc/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpjvu9euvc/parted_data --input-dir /tmp/tmpjvu9euvc/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpjvu9euvc/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 [ 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] DGL backend not selected or invalid. Assuming PyTorch for now. [d578aa764bcd INFO 2022-11-07 10:38:12,613 PID:4363] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:12,613 PID:4363] Rank 0: Completed store-based barrier for 1 nodes. [d578aa764bcd INFO 2022-11-07 10:38:12,613 PID:4363] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:12,613 PID:4363] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:12,615 PID:4363] [Rank: 0] Reading file: /tmp/tmpjvu9euvc/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:12,630 PID:4363] [Rank: 0] Reading file: /tmp/tmpjvu9euvc/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:12,640 PID:4363] [Rank: 0] Reading file: /tmp/tmpjvu9euvc/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:12,649 PID:4363] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:12,649 PID:4363] Loading node feature[feat] of ntype[paper] from /tmp/tmpjvu9euvc/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,653 PID:4363] Loading node feature[label] of ntype[paper] from /tmp/tmpjvu9euvc/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,654 PID:4363] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpjvu9euvc/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,654 PID:4363] Loading node feature[year] of ntype[paper] from /tmp/tmpjvu9euvc/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,655 PID:4363] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [d578aa764bcd INFO 2022-11-07 10:38:12,655 PID:4363] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:12,655 PID:4363] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:12,655 PID:4363] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:12,655 PID:4363] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,656 PID:4363] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,656 PID:4363] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,657 PID:4363] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,658 PID:4363] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpjvu9euvc/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:12,659 PID:4363] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpjvu9euvc/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:12,667 PID:4363] Loading edges of etype[author:writes:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:12,676 PID:4363] Loading edges of etype[institution:writes:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:12,685 PID:4363] Loading edges of etype[paper:cites:paper] from /tmp/tmpjvu9euvc/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:12,695 PID:4363] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpjvu9euvc/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:12,707 PID:4363] [Rank: 0] Done reading edge_file: 4, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:12,708 PID:4363] [Rank: 0] Done reading dataset deom /tmp/tmpjvu9euvc/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:12,800 PID:4363] [Rank: 0] Done augmenting edge_data: 6, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:12,800 PID:4363] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:12,801 PID:4363] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:12,816 PID:4363] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:12,818 PID:4363] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:12,820 PID:4363] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:12,829 PID:4363] [Rank: 0] Total time for node feature exchange: 0:00:00.027525 [d578aa764bcd INFO 2022-11-07 10:38:12,829 PID:4363] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:12,829 PID:4363] [Rank: 0] processing node feature: author:writes:paper/orig_ids PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] [d578aa764bcd INFO 2022-11-07 10:38:12,854 PID:4363] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:12,891 PID:4363] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:12,911 PID:4363] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:12,941 PID:4363] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:12,982 PID:4363] [Rank: 0] Total time for node feature exchange: 0:00:00.152351 [d578aa764bcd INFO 2022-11-07 10:38:12,982 PID:4363] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:13,012 PID:4363] [Rank: 0] Time to send/rcv edge data: 0:00:00.008724 [d578aa764bcd INFO 2022-11-07 10:38:13,088 PID:4363] [Rank: 0] Done with data shuffling... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] [d578aa764bcd INFO 2022-11-07 10:38:13,133 PID:4363] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:13,134 PID:4363] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:13,192 PID:4363] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:13,243 PID:4363] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:13,244 PID:4363] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:13,244 PID:4363] [Rank: 0] key: institution:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:13,244 PID:4363] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:13,244 PID:4363] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:13,292 PID:4363] [Rank: 0] Done resolving orig_node_id for local node_ids... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:38:13,634 PID:4363] There are 62400 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:13,712 PID:4363] [Rank: 0] Time to create dgl objects: 0:00:00.419755 [d578aa764bcd INFO 2022-11-07 10:38:13,713 PID:4363] [Rank: 0] Total execution time of the program: 0:00:01.099189 [d578aa764bcd INFO 2022-11-07 10:38:13,713 PID:4363] [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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 21%] tests/tools/test_dist_part.py::test_pipeline_basics[1-3] Done with creating chunked graph 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] INFO:root:Changing directory to /tmp/tmpkuas_h3z/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpkuas_h3z/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpkuas_h3z/parted_data --input-dir /tmp/tmpkuas_h3z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpkuas_h3z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] (export DGL_IP_CONFIG=/tmp/tmpkuas_h3z/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpkuas_h3z/parted_data --input-dir /tmp/tmpkuas_h3z/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpkuas_h3z/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:38:18,722 PID:4538] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:18,723 PID:4538] Rank 0: Completed store-based barrier for 1 nodes. [d578aa764bcd INFO 2022-11-07 10:38:18,723 PID:4538] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:18,723 PID:4538] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:18,726 PID:4538] [Rank: 0] Reading file: /tmp/tmpkuas_h3z/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:18,748 PID:4538] [Rank: 0] Reading file: /tmp/tmpkuas_h3z/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:18,768 PID:4538] [Rank: 0] Reading file: /tmp/tmpkuas_h3z/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:18,781 PID:4538] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:18,782 PID:4538] Loading node feature[feat] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,788 PID:4538] Loading node feature[feat] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,788 PID:4538] Loading node feature[feat] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,789 PID:4538] Loading node feature[label] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,789 PID:4538] Loading node feature[label] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,790 PID:4538] Loading node feature[label] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,790 PID:4538] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,791 PID:4538] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,791 PID:4538] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,791 PID:4538] Loading node feature[year] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,792 PID:4538] Loading node feature[year] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,792 PID:4538] Loading node feature[year] of ntype[paper] from /tmp/tmpkuas_h3z/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,793 PID:4538] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,794 PID:4538] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,794 PID:4538] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,795 PID:4538] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,795 PID:4538] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,796 PID:4538] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,796 PID:4538] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,796 PID:4538] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,797 PID:4538] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,797 PID:4538] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,798 PID:4538] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,798 PID:4538] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:18,799 PID:4538] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:18,799 PID:4538] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:18,799 PID:4538] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:18,799 PID:4538] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:18,800 PID:4538] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:18,800 PID:4538] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:18,800 PID:4538] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:18,800 PID:4538] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:18,809 PID:4538] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:18,825 PID:4538] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:18,840 PID:4538] Loading edges of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:18,856 PID:4538] Loading edges of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:18,872 PID:4538] Loading edges of etype[author:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:18,886 PID:4538] Loading edges of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:18,899 PID:4538] Loading edges of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:18,912 PID:4538] Loading edges of etype[institution:writes:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/institution:writes:paper2.txt PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:38:18,926 PID:4538] Loading edges of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:18,942 PID:4538] Loading edges of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:18,958 PID:4538] Loading edges of etype[paper:cites:paper] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:18,976 PID:4538] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:18,988 PID:4538] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:19,000 PID:4538] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpkuas_h3z/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:19,012 PID:4538] [Rank: 0] Done reading edge_file: 4, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:19,012 PID:4538] [Rank: 0] Done reading dataset deom /tmp/tmpkuas_h3z/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:19,085 PID:4538] [Rank: 0] Done augmenting edge_data: 6, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:19,086 PID:4538] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:19,086 PID:4538] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:19,094 PID:4538] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:19,097 PID:4538] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:19,099 PID:4538] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:19,101 PID:4538] [Rank: 0] Total time for node feature exchange: 0:00:00.014752 [d578aa764bcd INFO 2022-11-07 10:38:19,102 PID:4538] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:19,102 PID:4538] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:19,107 PID:4538] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:19,112 PID:4538] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:19,118 PID:4538] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:19,125 PID:4538] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:19,130 PID:4538] [Rank: 0] Total time for node feature exchange: 0:00:00.028468 [d578aa764bcd INFO 2022-11-07 10:38:19,130 PID:4538] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:19,140 PID:4538] [Rank: 0] Time to send/rcv edge data: 0:00:00.005331 [d578aa764bcd INFO 2022-11-07 10:38:19,194 PID:4538] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:19,229 PID:4538] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:19,230 PID:4538] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:19,272 PID:4538] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:19,298 PID:4538] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:19,299 PID:4538] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:19,299 PID:4538] [Rank: 0] key: institution:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:19,299 PID:4538] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:19,299 PID:4538] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:19,342 PID:4538] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:19,627 PID:4538] There are 62400 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:19,670 PID:4538] [Rank: 0] Time to create dgl objects: 0:00:00.327457 [d578aa764bcd INFO 2022-11-07 10:38:19,670 PID:4538] [Rank: 0] Total execution time of the program: 0:00:00.947197 [d578aa764bcd INFO 2022-11-07 10:38:19,671 PID:4538] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 24%] tests/tools/test_dist_part.py::test_pipeline_basics[1-4] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] Done with creating chunked graph 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] INFO:root:Changing directory to /tmp/tmpnr5rsbtf/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 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] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpnr5rsbtf/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpnr5rsbtf/parted_data --input-dir /tmp/tmpnr5rsbtf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpnr5rsbtf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpnr5rsbtf/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpnr5rsbtf/parted_data --input-dir /tmp/tmpnr5rsbtf/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpnr5rsbtf/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs 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] [d578aa764bcd INFO 2022-11-07 10:38:24,588 PID:4713] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:24,588 PID:4713] Rank 0: Completed store-based barrier for 1 nodes. [d578aa764bcd INFO 2022-11-07 10:38:24,588 PID:4713] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:24,588 PID:4713] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:24,589 PID:4713] [Rank: 0] Reading file: /tmp/tmpnr5rsbtf/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:24,602 PID:4713] [Rank: 0] Reading file: /tmp/tmpnr5rsbtf/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:24,613 PID:4713] [Rank: 0] Reading file: /tmp/tmpnr5rsbtf/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:24,625 PID:4713] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:24,625 PID:4713] Loading node feature[feat] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,629 PID:4713] Loading node feature[feat] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,629 PID:4713] Loading node feature[feat] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,630 PID:4713] Loading node feature[feat] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,630 PID:4713] Loading node feature[label] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,631 PID:4713] Loading node feature[label] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,631 PID:4713] Loading node feature[label] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,631 PID:4713] Loading node feature[label] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,632 PID:4713] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,632 PID:4713] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,632 PID:4713] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,633 PID:4713] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,633 PID:4713] Loading node feature[year] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,633 PID:4713] Loading node feature[year] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,634 PID:4713] Loading node feature[year] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,634 PID:4713] Loading node feature[year] of ntype[paper] from /tmp/tmpnr5rsbtf/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,634 PID:4713] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [d578aa764bcd INFO 2022-11-07 10:38:24,634 PID:4713] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:24,634 PID:4713] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:24,635 PID:4713] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:24,635 PID:4713] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,635 PID:4713] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,635 PID:4713] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,636 PID:4713] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,636 PID:4713] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,636 PID:4713] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,637 PID:4713] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,637 PID:4713] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,638 PID:4713] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,638 PID:4713] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,638 PID:4713] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,639 PID:4713] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,639 PID:4713] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,640 PID:4713] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,640 PID:4713] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,640 PID:4713] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,641 PID:4713] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:24,641 PID:4713] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:24,642 PID:4713] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:24,642 PID:4713] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:24,642 PID:4713] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:24,643 PID:4713] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:24,643 PID:4713] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:24,643 PID:4713] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:24,643 PID:4713] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:24,643 PID:4713] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:24,651 PID:4713] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:24,658 PID:4713] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:24,666 PID:4713] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:38:24,673 PID:4713] Loading edges of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:writes:paper0.txt PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:38:24,680 PID:4713] Loading edges of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:24,687 PID:4713] Loading edges of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:24,695 PID:4713] Loading edges of etype[author:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:24,703 PID:4713] Loading edges of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:24,711 PID:4713] Loading edges of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:24,719 PID:4713] Loading edges of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:24,727 PID:4713] Loading edges of etype[institution:writes:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:24,735 PID:4713] Loading edges of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:24,744 PID:4713] Loading edges of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:24,752 PID:4713] Loading edges of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:24,761 PID:4713] Loading edges of etype[paper:cites:paper] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:24,770 PID:4713] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:24,778 PID:4713] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:24,785 PID:4713] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:24,793 PID:4713] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpnr5rsbtf/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:38:24,803 PID:4713] [Rank: 0] Done reading edge_file: 4, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:24,803 PID:4713] [Rank: 0] Done reading dataset deom /tmp/tmpnr5rsbtf/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:24,894 PID:4713] [Rank: 0] Done augmenting edge_data: 6, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:24,894 PID:4713] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:24,895 PID:4713] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:24,913 PID:4713] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:24,939 PID:4713] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:24,965 PID:4713] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:24,991 PID:4713] [Rank: 0] Total time for node feature exchange: 0:00:00.096520 [d578aa764bcd INFO 2022-11-07 10:38:24,992 PID:4713] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:24,992 PID:4713] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:25,010 PID:4713] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:25,018 PID:4713] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:25,025 PID:4713] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:25,032 PID:4713] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:25,038 PID:4713] [Rank: 0] Total time for node feature exchange: 0:00:00.045917 [d578aa764bcd INFO 2022-11-07 10:38:25,038 PID:4713] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:25,055 PID:4713] [Rank: 0] Time to send/rcv edge data: 0:00:00.012160 [d578aa764bcd INFO 2022-11-07 10:38:25,099 PID:4713] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:25,130 PID:4713] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:25,131 PID:4713] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:25,173 PID:4713] [Rank: 0] Done assigning global_ids to edges ... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:38:25,205 PID:4713] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:25,205 PID:4713] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:25,205 PID:4713] [Rank: 0] key: institution:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:25,205 PID:4713] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:25,205 PID:4713] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:25,272 PID:4713] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:25,555 PID:4713] There are 62400 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:25,588 PID:4713] [Rank: 0] Time to create dgl objects: 0:00:00.315250 [d578aa764bcd INFO 2022-11-07 10:38:25,588 PID:4713] [Rank: 0] Total execution time of the program: 0:00:01.000349 [d578aa764bcd INFO 2022-11-07 10:38:25,589 PID:4713] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! 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 [ 27%] tests/tools/test_dist_part.py::test_pipeline_basics[1-8] Done with creating chunked graph 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] INFO:root:Changing directory to /tmp/tmpgr1drdsd/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 Downloading https://files.pythonhosted.org/packages/9e/cb/938214ac358fbef7058343b3765c79a1b7ed0c366f7f992ce7ff38335652/ruamel.yaml-0.17.21-py3-none-any.whl#sha256=742b35d3d665023981bd6d16b3d24248ce5df75fdb4e2924e93a05c1f8b61ca7 Best match: ruamel.yaml 0.17.21 Processing ruamel.yaml-0.17.21-py3-none-any.whl Installing ruamel.yaml-0.17.21-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding ruamel.yaml 0.17.21 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml-0.17.21-py3.7.egg Searching for pydantic>=1.9.0 Reading https://pypi.org/simple/pydantic/ PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpgr1drdsd/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpgr1drdsd/parted_data --input-dir /tmp/tmpgr1drdsd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpgr1drdsd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpgr1drdsd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpgr1drdsd/parted_data --input-dir /tmp/tmpgr1drdsd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 1 --output /tmp/tmpgr1drdsd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:38:30,457 PID:4888] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:30,457 PID:4888] Rank 0: Completed store-based barrier for 1 nodes. [d578aa764bcd INFO 2022-11-07 10:38:30,457 PID:4888] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:30,457 PID:4888] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:30,458 PID:4888] [Rank: 0] Reading file: /tmp/tmpgr1drdsd/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:30,470 PID:4888] [Rank: 0] Reading file: /tmp/tmpgr1drdsd/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:30,485 PID:4888] [Rank: 0] Reading file: /tmp/tmpgr1drdsd/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:30,493 PID:4888] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:30,493 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,497 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,498 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,498 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,498 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,498 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,499 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,499 PID:4888] Loading node feature[feat] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/feat-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,500 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,500 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,501 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,501 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,502 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,502 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,502 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,503 PID:4888] Loading node feature[label] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/label-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,503 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,504 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,504 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,505 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,505 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,505 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,506 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,506 PID:4888] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,507 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,507 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,508 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,508 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,508 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,509 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,509 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,509 PID:4888] Loading node feature[year] of ntype[paper] from /tmp/tmpgr1drdsd/chunked-data/node_data/paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,510 PID:4888] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([1200, 3]) [d578aa764bcd INFO 2022-11-07 10:38:30,510 PID:4888] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:30,510 PID:4888] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:30,510 PID:4888] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([1200]) [d578aa764bcd INFO 2022-11-07 10:38:30,510 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,511 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,511 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,512 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,512 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,512 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,513 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,513 PID:4888] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,513 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,514 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,514 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,514 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,515 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,515 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,515 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,515 PID:4888] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/author:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,516 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,516 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,517 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,517 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,517 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,517 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,518 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,518 PID:4888] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/institution:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,518 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,519 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,519 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,520 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,520 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,520 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,521 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,521 PID:4888] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:cites:paper/count-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,522 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:30,522 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:30,522 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:30,523 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:30,523 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:30,523 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:30,524 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:30,524 PID:4888] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:30,525 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:30,537 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:30,545 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:30,551 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:38:30,558 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution4.txt [d578aa764bcd INFO 2022-11-07 10:38:30,567 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution5.txt [d578aa764bcd INFO 2022-11-07 10:38:30,573 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution6.txt [d578aa764bcd INFO 2022-11-07 10:38:30,579 PID:4888] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:affiliated_with:institution7.txt [d578aa764bcd INFO 2022-11-07 10:38:30,587 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:30,597 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:30,603 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:30,610 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:30,618 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:30,625 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:30,632 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:30,638 PID:4888] Loading edges of etype[author:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/author:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:38:30,646 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:30,654 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:30,662 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:30,669 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:30,677 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:30,686 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:30,696 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:30,703 PID:4888] Loading edges of etype[institution:writes:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/institution:writes:paper7.txt PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:38:30,711 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:30,718 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:30,725 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:30,733 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:30,740 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:30,746 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:30,755 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:30,762 PID:4888] Loading edges of etype[paper:cites:paper] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:cites:paper7.txt [d578aa764bcd INFO 2022-11-07 10:38:30,770 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:30,779 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:30,786 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:30,794 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:38:30,801 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author4.txt [d578aa764bcd INFO 2022-11-07 10:38:30,808 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author5.txt [d578aa764bcd INFO 2022-11-07 10:38:30,815 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author6.txt [d578aa764bcd INFO 2022-11-07 10:38:30,822 PID:4888] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpgr1drdsd/chunked-data/edge_index/paper:rev_writes:author7.txt [d578aa764bcd INFO 2022-11-07 10:38:30,831 PID:4888] [Rank: 0] Done reading edge_file: 4, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:30,831 PID:4888] [Rank: 0] Done reading dataset deom /tmp/tmpgr1drdsd/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:30,898 PID:4888] [Rank: 0] Done augmenting edge_data: 6, (62400,) [d578aa764bcd INFO 2022-11-07 10:38:30,898 PID:4888] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:30,899 PID:4888] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:30,907 PID:4888] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:30,910 PID:4888] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:30,913 PID:4888] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:30,916 PID:4888] [Rank: 0] Total time for node feature exchange: 0:00:00.016638 [d578aa764bcd INFO 2022-11-07 10:38:30,916 PID:4888] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:30,916 PID:4888] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:30,923 PID:4888] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:30,929 PID:4888] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:30,934 PID:4888] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:30,941 PID:4888] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:30,948 PID:4888] [Rank: 0] Total time for node feature exchange: 0:00:00.031014 [d578aa764bcd INFO 2022-11-07 10:38:30,948 PID:4888] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:30,956 PID:4888] [Rank: 0] Time to send/rcv edge data: 0:00:00.005017 [d578aa764bcd INFO 2022-11-07 10:38:31,015 PID:4888] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:31,048 PID:4888] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:31,049 PID:4888] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:31,090 PID:4888] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:31,117 PID:4888] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:31,117 PID:4888] [Rank: 0] key: author:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:31,117 PID:4888] [Rank: 0] key: institution:writes:paper/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:31,117 PID:4888] [Rank: 0] key: paper:cites:paper/count v: torch.Size([24000]) [d578aa764bcd INFO 2022-11-07 10:38:31,117 PID:4888] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:31,163 PID:4888] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:31,458 PID:4888] There are 62400 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:31,517 PID:4888] [Rank: 0] Time to create dgl objects: 0:00:00.353575 [d578aa764bcd INFO 2022-11-07 10:38:31,518 PID:4888] [Rank: 0] Total execution time of the program: 0:00:01.060652 [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:31,518 PID:4888] [Rank: 0] Done with Distributed data processing pipeline processing. 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] Downloading https://files.pythonhosted.org/packages/d4/ec/230ab377c457cd68cfda78759e2a57f8c08a9e9adb4cd53c4d2fc9100b15/pydantic-1.10.2-py3-none-any.whl#sha256=1b6ee725bd6e83ec78b1aa32c5b1fa67a3a65badddde3976bca5fe4568f27709 Best match: pydantic 1.10.2 Processing pydantic-1.10.2-py3-none-any.whl Installing pydantic-1.10.2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding pydantic 1.10.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pydantic-1.10.2-py3.7.egg Searching for numpydoc>=1.1.0 Reading https://pypi.org/simple/numpydoc/ Downloading https://files.pythonhosted.org/packages/c4/81/ad9b8837442ff451eca82515b41ac425f87acff7e2fc016fd1bda13fc01a/numpydoc-1.5.0-py3-none-any.whl#sha256=c997759fb6fc32662801cece76491eedbc0ec619b514932ffd2b270ae89c07f9 Best match: numpydoc 1.5.0 Processing numpydoc-1.5.0-py3-none-any.whl PASSED [ 29%] tests/tools/test_dist_part.py::test_pipeline_basics[3-1] PASSED [ 32%] tests/tools/test_dist_part.py::test_pipeline_basics[3-3] Done with creating chunked graph Installing numpydoc-1.5.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] Adding numpydoc 1.5.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpydoc-1.5.0-py3.7.egg Searching for autopep8>=1.6.0 Reading https://pypi.org/simple/autopep8/ Downloading https://files.pythonhosted.org/packages/2a/c0/a1372bd95578778aae8dc5359e4f8ec03a94479d2f36e30543298d30c48a/autopep8-2.0.0-py2.py3-none-any.whl#sha256=ad924b42c2e27a1ac58e432166cc4588f5b80747de02d0d35b1ecbd3e7d57207 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] Best match: autopep8 2.0.0 Processing autopep8-2.0.0-py2.py3-none-any.whl Installing autopep8-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] INFO:root:Changing directory to /tmp/tmptl4dseae/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 Adding autopep8 2.0.0 to easy-install.pth file Installing autopep8 script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/autopep8-2.0.0-py3.7.egg Searching for isort>=5.10.1 Reading https://pypi.org/simple/isort/ 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] Downloading https://files.pythonhosted.org/packages/b8/5b/f18e227df38b94b4ee30d2502fd531bebac23946a2497e5595067a561274/isort-5.10.1-py3-none-any.whl#sha256=6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7 Best match: isort 5.10.1 Processing isort-5.10.1-py3-none-any.whl Installing isort-5.10.1-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmptl4dseae/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmptl4dseae/parted_data --input-dir /tmp/tmptl4dseae/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmptl4dseae/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " Adding isort 5.10.1 to easy-install.pth file Installing isort script to /opt/conda/envs/pytorch-ci/bin Installing isort-identify-imports script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/isort-5.10.1-py3.7.egg Searching for typer>=0.4.0 Reading https://pypi.org/simple/typer/ (export DGL_IP_CONFIG=/tmp/tmptl4dseae/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmptl4dseae/parted_data --input-dir /tmp/tmptl4dseae/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmptl4dseae/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmptl4dseae/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmptl4dseae/parted_data --input-dir /tmp/tmptl4dseae/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmptl4dseae/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmptl4dseae/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmptl4dseae/parted_data --input-dir /tmp/tmptl4dseae/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmptl4dseae/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. Warning: Permanently added '127.0.0.2' (ECDSA) to the list of known hosts. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] Downloading https://files.pythonhosted.org/packages/0d/44/56c3f48d2bb83d76f5c970aef8e2c3ebd6a832f09e3621c5395371fe6999/typer-0.7.0-py3-none-any.whl#sha256=b5e704f4e48ec263de1c0b3a2387cd405a13767d2f907f44c1a08cbad96f606d Best match: typer 0.7.0 Processing typer-0.7.0-py3-none-any.whl PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] Installing typer-0.7.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] Adding typer 0.7.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/typer-0.7.0-py3.7.egg Searching for ruamel.yaml.clib>=0.2.6 Reading https://pypi.org/simple/ruamel.yaml.clib/ PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:38:36,525 PID:5097] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:36,536 PID:5091] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:38:36,536 PID:5095] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:38:36,536 PID:5095] Rank 1: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:36,536 PID:5097] Rank 0: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:36,536 PID:5091] Rank 2: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5097] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5097] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5095] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5095] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5091] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:36,537 PID:5091] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:36,538 PID:5097] [Rank: 0] Reading file: /tmp/tmptl4dseae/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:36,539 PID:5091] [Rank: 2] Reading file: /tmp/tmptl4dseae/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:36,539 PID:5095] [Rank: 1] Reading file: /tmp/tmptl4dseae/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:36,553 PID:5097] [Rank: 0] Reading file: /tmp/tmptl4dseae/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:36,553 PID:5095] [Rank: 1] Reading file: /tmp/tmptl4dseae/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:36,554 PID:5091] [Rank: 2] Reading file: /tmp/tmptl4dseae/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:36,565 PID:5097] [Rank: 0] Reading file: /tmp/tmptl4dseae/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:36,567 PID:5095] [Rank: 1] Reading file: /tmp/tmptl4dseae/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:36,568 PID:5091] [Rank: 2] Reading file: /tmp/tmptl4dseae/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:36,576 PID:5097] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:36,576 PID:5097] Loading node feature[feat] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,580 PID:5095] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:36,580 PID:5095] Loading node feature[feat] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,581 PID:5097] Loading node feature[label] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,582 PID:5097] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,582 PID:5097] Loading node feature[year] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,583 PID:5097] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [d578aa764bcd INFO 2022-11-07 10:38:36,583 PID:5097] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,583 PID:5097] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,583 PID:5097] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,584 PID:5097] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,584 PID:5097] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,585 PID:5097] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,585 PID:5097] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,584 PID:5095] Loading node feature[label] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,586 PID:5097] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:36,586 PID:5095] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,586 PID:5095] Loading node feature[year] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5097] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmptl4dseae/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5095] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5095] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5095] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,587 PID:5095] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,588 PID:5095] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,588 PID:5095] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,589 PID:5095] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,589 PID:5095] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,590 PID:5095] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:36,590 PID:5095] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,591 PID:5095] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,591 PID:5095] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,591 PID:5095] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [d578aa764bcd INFO 2022-11-07 10:38:36,591 PID:5095] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,591 PID:5095] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmptl4dseae/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:36,592 PID:5091] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:36,593 PID:5091] Loading node feature[feat] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,601 PID:5097] Loading edges of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:36,606 PID:5095] Loading edges of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:36,607 PID:5091] Loading node feature[label] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,608 PID:5091] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,609 PID:5091] Loading node feature[year] of ntype[paper] from /tmp/tmptl4dseae/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,611 PID:5091] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([400, 3]) [d578aa764bcd INFO 2022-11-07 10:38:36,611 PID:5091] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,611 PID:5091] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,611 PID:5091] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([400]) [d578aa764bcd INFO 2022-11-07 10:38:36,611 PID:5091] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,612 PID:5097] Loading edges of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:36,613 PID:5091] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,614 PID:5091] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,615 PID:5091] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,616 PID:5091] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:36,617 PID:5091] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,617 PID:5091] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,617 PID:5091] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,617 PID:5091] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([8000]) [d578aa764bcd INFO 2022-11-07 10:38:36,617 PID:5091] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4000]) [d578aa764bcd INFO 2022-11-07 10:38:36,618 PID:5091] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmptl4dseae/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:36,618 PID:5095] Loading edges of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:36,622 PID:5097] Loading edges of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:36,630 PID:5095] Loading edges of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:36,634 PID:5097] Loading edges of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:36,637 PID:5091] Loading edges of etype[author:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:36,643 PID:5095] Loading edges of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:36,644 PID:5097] [Rank: 0] Done reading edge_file: 4, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,644 PID:5097] [Rank: 0] Done reading dataset deom /tmp/tmptl4dseae/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:36,662 PID:5091] Loading edges of etype[institution:writes:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:36,661 PID:5095] [Rank: 1] Done reading edge_file: 4, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,662 PID:5095] [Rank: 1] Done reading dataset deom /tmp/tmptl4dseae/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:36,678 PID:5091] Loading edges of etype[paper:cites:paper] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:36,691 PID:5091] Loading edges of etype[paper:rev_writes:author] from /tmp/tmptl4dseae/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:36,702 PID:5091] [Rank: 2] Done reading edge_file: 4, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,702 PID:5091] [Rank: 2] Done reading dataset deom /tmp/tmptl4dseae/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5095] [Rank: 1] Done augmenting edge_data: 6, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5095] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5097] [Rank: 0] Done augmenting edge_data: 6, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5097] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5091] [Rank: 2] Done augmenting edge_data: 6, (20800,) [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5091] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:36,825 PID:5095] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:36,826 PID:5097] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:36,826 PID:5091] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:36,977 PID:5091] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:36,977 PID:5097] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:36,977 PID:5095] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:37,127 PID:5091] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,127 PID:5097] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,129 PID:5095] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,285 PID:5095] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:37,285 PID:5091] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:37,285 PID:5097] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:37,442 PID:5091] [Rank: 2] Total time for node feature exchange: 0:00:00.616544 [d578aa764bcd INFO 2022-11-07 10:38:37,442 PID:5097] [Rank: 0] Total time for node feature exchange: 0:00:00.616623 [d578aa764bcd INFO 2022-11-07 10:38:37,443 PID:5097] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:37,443 PID:5097] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,443 PID:5091] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:37,443 PID:5091] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,443 PID:5095] [Rank: 1] Total time for node feature exchange: 0:00:00.617752 [d578aa764bcd INFO 2022-11-07 10:38:37,444 PID:5095] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:37,444 PID:5095] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:37,756 PID:5091] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:37,756 PID:5097] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:37,756 PID:5095] [Rank: 1] processing node feature: author:writes:paper/year Downloading https://files.pythonhosted.org/packages/38/d9/12fd19480b081d0930b82fe15ed1f9e400aa06530b9f722149bb2580a913/ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl#sha256=c3ca1fbba4ae962521e5eb66d72998b51f0f4d0f608d3c0347a48e1af262efa7 Best match: ruamel.yaml.clib 0.2.7 Processing ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl Installing ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding ruamel.yaml.clib 0.2.7 to easy-install.pth file [d578aa764bcd INFO 2022-11-07 10:38:38,054 PID:5091] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:38,054 PID:5097] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:38,054 PID:5095] [Rank: 1] processing node feature: institution:writes:paper/year PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml.clib-0.2.7-py3.7-linux-x86_64.egg Searching for Jinja2>=2.10 Reading https://pypi.org/simple/Jinja2/ [d578aa764bcd INFO 2022-11-07 10:38:38,335 PID:5097] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:38,335 PID:5095] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:38,335 PID:5091] [Rank: 2] processing node feature: paper:cites:paper/count 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 [d578aa764bcd INFO 2022-11-07 10:38:38,620 PID:5097] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:38,620 PID:5091] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:38,620 PID:5095] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:38,926 PID:5097] [Rank: 0] Total time for node feature exchange: 0:00:01.483392 [d578aa764bcd INFO 2022-11-07 10:38:38,927 PID:5097] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:38,926 PID:5091] [Rank: 2] Total time for node feature exchange: 0:00:01.483589 [d578aa764bcd INFO 2022-11-07 10:38:38,927 PID:5091] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:38,927 PID:5095] [Rank: 1] Total time for node feature exchange: 0:00:01.483171 [d578aa764bcd INFO 2022-11-07 10:38:38,927 PID:5095] [Rank: 1] Done with edge features exchange. Adding Jinja2 3.1.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Jinja2-3.1.2-py3.7.egg Searching for sphinx>=4.2 Reading https://pypi.org/simple/sphinx/ PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] [d578aa764bcd INFO 2022-11-07 10:38:39,391 PID:5095] [Rank: 1] Time to send/rcv edge data: 0:00:00.174261 [d578aa764bcd INFO 2022-11-07 10:38:39,391 PID:5097] [Rank: 0] Time to send/rcv edge data: 0:00:00.173456 [d578aa764bcd INFO 2022-11-07 10:38:39,391 PID:5091] [Rank: 2] Time to send/rcv edge data: 0:00:00.173737 [d578aa764bcd INFO 2022-11-07 10:38:39,507 PID:5091] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:39,538 PID:5095] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:39,557 PID:5097] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:39,565 PID:5091] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:39,597 PID:5095] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:39,619 PID:5097] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:39,621 PID:5097] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:39,622 PID:5095] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:39,622 PID:5091] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:39,709 PID:5095] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:39,710 PID:5097] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:39,710 PID:5091] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:39,718 PID:5091] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3770]) [d578aa764bcd INFO 2022-11-07 10:38:39,718 PID:5091] [Rank: 2] key: author:writes:paper/year v: torch.Size([3770]) [d578aa764bcd INFO 2022-11-07 10:38:39,718 PID:5091] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3673]) [d578aa764bcd INFO 2022-11-07 10:38:39,718 PID:5091] [Rank: 2] key: paper:cites:paper/count v: torch.Size([7567]) [d578aa764bcd INFO 2022-11-07 10:38:39,718 PID:5091] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([3838]) [d578aa764bcd INFO 2022-11-07 10:38:39,773 PID:5097] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([4170]) [d578aa764bcd INFO 2022-11-07 10:38:39,773 PID:5097] [Rank: 0] key: author:writes:paper/year v: torch.Size([4170]) [d578aa764bcd INFO 2022-11-07 10:38:39,773 PID:5097] [Rank: 0] key: institution:writes:paper/year v: torch.Size([4209]) [d578aa764bcd INFO 2022-11-07 10:38:39,773 PID:5097] [Rank: 0] key: paper:cites:paper/count v: torch.Size([8488]) [d578aa764bcd INFO 2022-11-07 10:38:39,773 PID:5097] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([4027]) [d578aa764bcd INFO 2022-11-07 10:38:39,793 PID:5095] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([4060]) [d578aa764bcd INFO 2022-11-07 10:38:39,793 PID:5095] [Rank: 1] key: author:writes:paper/year v: torch.Size([4060]) [d578aa764bcd INFO 2022-11-07 10:38:39,793 PID:5095] [Rank: 1] key: institution:writes:paper/year v: torch.Size([4118]) [d578aa764bcd INFO 2022-11-07 10:38:39,793 PID:5095] [Rank: 1] key: paper:cites:paper/count v: torch.Size([7945]) [d578aa764bcd INFO 2022-11-07 10:38:39,793 PID:5095] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([4135]) [d578aa764bcd INFO 2022-11-07 10:38:39,899 PID:5091] [Rank: 2] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:39,900 PID:5097] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:39,900 PID:5095] [Rank: 1] Done resolving orig_node_id for local node_ids... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] [d578aa764bcd INFO 2022-11-07 10:38:40,444 PID:5095] There are 21048 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:38:40,454 PID:5091] There are 19640 edges in partition 2 PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:38:40,508 PID:5097] There are 21712 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:40,526 PID:5095] [Rank: 1] Time to create dgl objects: 0:00:00.625881 [d578aa764bcd INFO 2022-11-07 10:38:40,526 PID:5091] [Rank: 2] Time to create dgl objects: 0:00:00.627086 [d578aa764bcd INFO 2022-11-07 10:38:40,526 PID:5091] [Rank: 2] Total execution time of the program: 0:00:03.989387 [d578aa764bcd INFO 2022-11-07 10:38:40,526 PID:5095] [Rank: 1] Total execution time of the program: 0:00:03.989467 [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:40,527 PID:5091] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:40,527 PID:5097] [Rank: 0] Time to create dgl objects: 0:00:00.626967 [d578aa764bcd INFO 2022-11-07 10:38:40,527 PID:5097] [Rank: 0] Total execution time of the program: 0:00:03.990547 [d578aa764bcd INFO 2022-11-07 10:38:40,527 PID:5095] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:40,529 PID:5097] [Rank: 0] Done with Distributed data processing pipeline processing. Downloading https://files.pythonhosted.org/packages/5c/57/5f5829852eb008328db80b079899d10b9934174b71a772121d66afbff847/sphinx-6.0.0b2-py3-none-any.whl#sha256=1efbeeb409a2c1a52a9d0eba2ad630cb7b386f0e9a19b45c61745d991f9fd740 Best match: sphinx 6.0.0b2 Processing sphinx-6.0.0b2-py3-none-any.whl Installing sphinx-6.0.0b2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 35%] tests/tools/test_dist_part.py::test_pipeline_basics[3-4] Done with creating chunked graph Adding sphinx 6.0.0b2 to easy-install.pth file Installing sphinx-apidoc script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-autogen script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-build script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-quickstart script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinx-6.0.0b2-py3.7.egg Searching for pycodestyle>=2.9.1 Reading https://pypi.org/simple/pycodestyle/ 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] 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 Installing pycodestyle-2.9.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding pycodestyle 2.9.1 to easy-install.pth file Installing pycodestyle script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pycodestyle-2.9.1-py3.7.egg Searching for MarkupSafe>=2.0 Reading https://pypi.org/simple/MarkupSafe/ PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] INFO:root:Changing directory to /tmp/tmpxqgv66cg/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpxqgv66cg/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpxqgv66cg/parted_data --input-dir /tmp/tmpxqgv66cg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpxqgv66cg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpxqgv66cg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpxqgv66cg/parted_data --input-dir /tmp/tmpxqgv66cg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpxqgv66cg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpxqgv66cg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpxqgv66cg/parted_data --input-dir /tmp/tmpxqgv66cg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpxqgv66cg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpxqgv66cg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpxqgv66cg/parted_data --input-dir /tmp/tmpxqgv66cg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpxqgv66cg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] Adding MarkupSafe 2.1.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/MarkupSafe-2.1.1-py3.7-linux-x86_64.egg Searching for imagesize>=1.3 Reading https://pypi.org/simple/imagesize/ PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-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 [d578aa764bcd INFO 2022-11-07 10:38:45,661 PID:5587] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:45,670 PID:5590] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:38:45,670 PID:5584] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:38:45,671 PID:5590] Rank 2: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:45,671 PID:5584] Rank 1: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:45,673 PID:5587] Rank 0: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:45,673 PID:5587] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:45,673 PID:5587] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:45,674 PID:5590] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:45,674 PID:5590] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:45,674 PID:5584] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:45,674 PID:5584] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:45,676 PID:5587] [Rank: 0] Reading file: /tmp/tmpxqgv66cg/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:45,677 PID:5590] [Rank: 2] Reading file: /tmp/tmpxqgv66cg/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:45,678 PID:5584] [Rank: 1] Reading file: /tmp/tmpxqgv66cg/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:45,702 PID:5587] [Rank: 0] Reading file: /tmp/tmpxqgv66cg/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:45,703 PID:5584] [Rank: 1] Reading file: /tmp/tmpxqgv66cg/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:45,704 PID:5590] [Rank: 2] Reading file: /tmp/tmpxqgv66cg/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:45,723 PID:5587] [Rank: 0] Reading file: /tmp/tmpxqgv66cg/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:45,726 PID:5584] [Rank: 1] Reading file: /tmp/tmpxqgv66cg/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:45,727 PID:5590] [Rank: 2] Reading file: /tmp/tmpxqgv66cg/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:45,745 PID:5587] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:45,745 PID:5587] Loading node feature[feat] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,749 PID:5590] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:45,749 PID:5590] Loading node feature[feat] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,749 PID:5584] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:45,749 PID:5584] Loading node feature[feat] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,759 PID:5587] Loading node feature[feat] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,761 PID:5587] Loading node feature[label] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,762 PID:5587] Loading node feature[label] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,763 PID:5587] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,763 PID:5590] Loading node feature[label] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,764 PID:5584] Loading node feature[label] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,764 PID:5587] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,765 PID:5590] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,765 PID:5584] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,766 PID:5587] Loading node feature[year] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,766 PID:5590] Loading node feature[year] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,766 PID:5587] Loading node feature[year] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,766 PID:5584] Loading node feature[year] of ntype[paper] from /tmp/tmpxqgv66cg/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,767 PID:5590] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:38:45,767 PID:5590] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,767 PID:5590] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,767 PID:5590] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5590] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,767 PID:5587] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([600, 3]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5587] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([600]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5587] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([600]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5587] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([600]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5584] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5584] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5584] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5584] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5587] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5584] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,768 PID:5590] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,769 PID:5587] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,769 PID:5584] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,769 PID:5590] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,769 PID:5587] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,770 PID:5590] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,770 PID:5587] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,770 PID:5584] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,771 PID:5590] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:45,771 PID:5587] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,771 PID:5584] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,772 PID:5587] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,772 PID:5590] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5590] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5590] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5590] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5590] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,772 PID:5584] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5587] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5590] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:38:45,773 PID:5587] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5584] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5584] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5584] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5584] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5584] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:45,774 PID:5587] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:45,775 PID:5584] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:45,775 PID:5587] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:45,776 PID:5587] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,776 PID:5587] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,776 PID:5587] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,776 PID:5587] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([12000]) [d578aa764bcd INFO 2022-11-07 10:38:45,777 PID:5587] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:45,777 PID:5587] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:45,792 PID:5590] Loading edges of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:45,795 PID:5584] Loading edges of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:45,796 PID:5587] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:45,814 PID:5590] Loading edges of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:45,817 PID:5587] Loading edges of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:45,818 PID:5584] Loading edges of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:45,836 PID:5590] Loading edges of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:45,838 PID:5584] Loading edges of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:45,839 PID:5587] Loading edges of etype[author:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:45,859 PID:5590] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:38:45,860 PID:5587] Loading edges of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:45,863 PID:5584] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:45,880 PID:5587] Loading edges of etype[institution:writes:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:45,881 PID:5590] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:45,882 PID:5590] [Rank: 2] Done reading dataset deom /tmp/tmpxqgv66cg/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:45,886 PID:5584] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:45,886 PID:5584] [Rank: 1] Done reading dataset deom /tmp/tmpxqgv66cg/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:45,914 PID:5587] Loading edges of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:45,929 PID:5587] Loading edges of etype[paper:cites:paper] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:45,940 PID:5587] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:45,949 PID:5587] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxqgv66cg/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:45,957 PID:5587] [Rank: 0] Done reading edge_file: 4, (31200,) [d578aa764bcd INFO 2022-11-07 10:38:45,957 PID:5587] [Rank: 0] Done reading dataset deom /tmp/tmpxqgv66cg/chunked-data 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/ [d578aa764bcd INFO 2022-11-07 10:38:46,073 PID:5590] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:46,073 PID:5590] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:46,074 PID:5590] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:46,073 PID:5584] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:46,074 PID:5584] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:46,074 PID:5587] [Rank: 0] Done augmenting edge_data: 6, (31200,) [d578aa764bcd INFO 2022-11-07 10:38:46,074 PID:5584] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:46,074 PID:5587] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:46,075 PID:5587] [Rank: 0] processing node feature: paper/feat 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 [d578aa764bcd INFO 2022-11-07 10:38:46,277 PID:5590] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:46,277 PID:5587] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:46,278 PID:5584] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:46,475 PID:5590] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:46,475 PID:5584] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:46,475 PID:5587] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] [d578aa764bcd INFO 2022-11-07 10:38:46,652 PID:5590] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:46,652 PID:5587] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:46,652 PID:5584] [Rank: 1] processing node feature: paper/year 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/ [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5587] [Rank: 0] Total time for node feature exchange: 0:00:00.774522 [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5590] [Rank: 2] Total time for node feature exchange: 0:00:00.775963 [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5584] [Rank: 1] Total time for node feature exchange: 0:00:00.775883 [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5590] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5590] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5587] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:46,850 PID:5587] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:46,851 PID:5584] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:46,851 PID:5584] [Rank: 1] processing node feature: author:writes:paper/orig_ids Downloading https://files.pythonhosted.org/packages/92/f7/86301a69926e11cd52f73396d169554d09b20b1723a040c2dcc1559ef588/Babel-2.11.0-py3-none-any.whl#sha256=1ad3eca1c885218f6dce2ab67291178944f810a10a9b5f3cb8382a5a232b64fe Best match: Babel 2.11.0 Processing Babel-2.11.0-py3-none-any.whl Installing Babel-2.11.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages [d578aa764bcd INFO 2022-11-07 10:38:47,101 PID:5590] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:47,101 PID:5587] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:47,102 PID:5584] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:47,376 PID:5590] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:47,376 PID:5587] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:47,376 PID:5584] [Rank: 1] processing node feature: institution:writes:paper/year PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:38:47,673 PID:5590] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:47,673 PID:5587] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:47,673 PID:5584] [Rank: 1] processing node feature: paper:cites:paper/count Adding Babel 2.11.0 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-2.11.0-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 [d578aa764bcd INFO 2022-11-07 10:38:47,970 PID:5587] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:47,970 PID:5590] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:47,970 PID:5584] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5590] [Rank: 2] Total time for node feature exchange: 0:00:01.422125 [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5590] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5587] [Rank: 0] Total time for node feature exchange: 0:00:01.422466 [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5587] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5584] [Rank: 1] Total time for node feature exchange: 0:00:01.422216 [d578aa764bcd INFO 2022-11-07 10:38:48,273 PID:5584] [Rank: 1] Done with edge features exchange. Adding snowballstemmer 2.2.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/snowballstemmer-2.2.0-py3.7.egg Searching for docutils<0.20,>=0.18 Reading https://pypi.org/simple/docutils/ Downloading https://files.pythonhosted.org/packages/93/69/e391bd51bc08ed9141ecd899a0ddb61ab6465309f1eb470905c0c8868081/docutils-0.19-py3-none-any.whl#sha256=5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc [d578aa764bcd INFO 2022-11-07 10:38:48,591 PID:5584] [Rank: 1] Time to send/rcv edge data: 0:00:00.056427 [d578aa764bcd INFO 2022-11-07 10:38:48,591 PID:5587] [Rank: 0] Time to send/rcv edge data: 0:00:00.056393 [d578aa764bcd INFO 2022-11-07 10:38:48,591 PID:5590] [Rank: 2] Time to send/rcv edge data: 0:00:00.056195 [d578aa764bcd INFO 2022-11-07 10:38:48,672 PID:5584] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:48,689 PID:5587] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:48,702 PID:5590] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:48,707 PID:5584] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:48,744 PID:5587] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:48,745 PID:5590] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:48,748 PID:5590] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:48,748 PID:5587] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:48,749 PID:5584] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:48,823 PID:5587] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:48,823 PID:5590] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:48,823 PID:5584] [Rank: 1] Done assigning global_ids to edges ... 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 [d578aa764bcd INFO 2022-11-07 10:38:48,930 PID:5587] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([3863]) [d578aa764bcd INFO 2022-11-07 10:38:48,931 PID:5587] [Rank: 0] key: author:writes:paper/year v: torch.Size([3863]) [d578aa764bcd INFO 2022-11-07 10:38:48,931 PID:5587] [Rank: 0] key: institution:writes:paper/year v: torch.Size([3782]) [d578aa764bcd INFO 2022-11-07 10:38:48,931 PID:5587] [Rank: 0] key: paper:cites:paper/count v: torch.Size([7577]) [d578aa764bcd INFO 2022-11-07 10:38:48,931 PID:5587] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([4152]) [d578aa764bcd INFO 2022-11-07 10:38:48,936 PID:5590] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3880]) [d578aa764bcd INFO 2022-11-07 10:38:48,936 PID:5590] [Rank: 2] key: author:writes:paper/year v: torch.Size([3880]) [d578aa764bcd INFO 2022-11-07 10:38:48,936 PID:5590] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3939]) [d578aa764bcd INFO 2022-11-07 10:38:48,936 PID:5590] [Rank: 2] key: paper:cites:paper/count v: torch.Size([7894]) [d578aa764bcd INFO 2022-11-07 10:38:48,936 PID:5590] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([3863]) [d578aa764bcd INFO 2022-11-07 10:38:48,959 PID:5584] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([4257]) [d578aa764bcd INFO 2022-11-07 10:38:48,959 PID:5584] [Rank: 1] key: author:writes:paper/year v: torch.Size([4257]) [d578aa764bcd INFO 2022-11-07 10:38:48,959 PID:5584] [Rank: 1] key: institution:writes:paper/year v: torch.Size([4279]) [d578aa764bcd INFO 2022-11-07 10:38:48,959 PID:5584] [Rank: 1] key: paper:cites:paper/count v: torch.Size([8529]) [d578aa764bcd INFO 2022-11-07 10:38:48,959 PID:5584] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3985]) [d578aa764bcd INFO 2022-11-07 10:38:49,072 PID:5584] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:49,073 PID:5587] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:49,073 PID:5590] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] 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/ [d578aa764bcd INFO 2022-11-07 10:38:49,616 PID:5590] There are 20469 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:38:49,637 PID:5584] There are 21778 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:38:49,706 PID:5587] There are 20153 edges in partition 0 Downloading https://files.pythonhosted.org/packages/4f/82/672cd382e5b39ab1cd422a672382f08a1fb3d08d9e0c0f3707f33a52063b/Pygments-2.13.0-py3-none-any.whl#sha256=f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42 [d578aa764bcd INFO 2022-11-07 10:38:49,724 PID:5584] [Rank: 1] Time to create dgl objects: 0:00:00.650964 [d578aa764bcd INFO 2022-11-07 10:38:49,724 PID:5590] [Rank: 2] Time to create dgl objects: 0:00:00.650251 [d578aa764bcd INFO 2022-11-07 10:38:49,724 PID:5584] [Rank: 1] Total execution time of the program: 0:00:04.049921 [d578aa764bcd INFO 2022-11-07 10:38:49,725 PID:5584] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:49,725 PID:5590] [Rank: 2] Total execution time of the program: 0:00:04.050624 [d578aa764bcd INFO 2022-11-07 10:38:49,726 PID:5590] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:49,726 PID:5587] [Rank: 0] Time to create dgl objects: 0:00:00.652554 [d578aa764bcd INFO 2022-11-07 10:38:49,727 PID:5587] [Rank: 0] Total execution time of the program: 0:00:04.053740 [d578aa764bcd INFO 2022-11-07 10:38:49,729 PID:5587] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! 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 [ 37%] tests/tools/test_dist_part.py::test_pipeline_basics[3-8] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] Done with creating chunked graph Adding Pygments 2.13.0 to easy-install.pth file Installing pygmentize script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Pygments-2.13.0-py3.7.egg Searching for sphinxcontrib-qthelp Reading https://pypi.org/simple/sphinxcontrib-qthelp/ Downloading https://files.pythonhosted.org/packages/2b/14/05f9206cf4e9cfca1afb5fd224c7cd434dcc3a433d6d9e4e0264d29c6cdb/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl#sha256=bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6 PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] 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/ 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] INFO:root:Changing directory to /tmp/tmpg9v2dkep/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 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/ 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] 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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-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 [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpg9v2dkep/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpg9v2dkep/parted_data --input-dir /tmp/tmpg9v2dkep/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpg9v2dkep/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpg9v2dkep/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpg9v2dkep/parted_data --input-dir /tmp/tmpg9v2dkep/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpg9v2dkep/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpg9v2dkep/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpg9v2dkep/parted_data --input-dir /tmp/tmpg9v2dkep/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpg9v2dkep/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpg9v2dkep/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmpg9v2dkep/parted_data --input-dir /tmp/tmpg9v2dkep/chunked-data --graph-name mag240m --schema metadata.json --num-parts 3 --output /tmp/tmpg9v2dkep/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs 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 PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] Installing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-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/ 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 [d578aa764bcd INFO 2022-11-07 10:38:54,873 PID:6081] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:38:54,884 PID:6083] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:38:54,885 PID:6083] Rank 2: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:54,885 PID:6082] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:38:54,886 PID:6082] Rank 1: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:54,894 PID:6081] Rank 0: Completed store-based barrier for 3 nodes. [d578aa764bcd INFO 2022-11-07 10:38:54,895 PID:6081] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:54,895 PID:6081] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:54,896 PID:6083] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:54,896 PID:6083] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:54,896 PID:6082] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:38:54,896 PID:6082] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:38:54,897 PID:6081] [Rank: 0] Reading file: /tmp/tmpg9v2dkep/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:54,899 PID:6083] [Rank: 2] Reading file: /tmp/tmpg9v2dkep/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:54,899 PID:6082] [Rank: 1] Reading file: /tmp/tmpg9v2dkep/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:38:54,913 PID:6081] [Rank: 0] Reading file: /tmp/tmpg9v2dkep/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:54,924 PID:6082] [Rank: 1] Reading file: /tmp/tmpg9v2dkep/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:54,924 PID:6083] [Rank: 2] Reading file: /tmp/tmpg9v2dkep/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:38:54,927 PID:6081] [Rank: 0] Reading file: /tmp/tmpg9v2dkep/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:54,942 PID:6081] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:54,942 PID:6081] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,947 PID:6082] [Rank: 1] Reading file: /tmp/tmpg9v2dkep/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:54,947 PID:6083] [Rank: 2] Reading file: /tmp/tmpg9v2dkep/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:38:54,949 PID:6081] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,950 PID:6081] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,950 PID:6081] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,951 PID:6081] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,952 PID:6081] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,952 PID:6081] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,953 PID:6081] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,954 PID:6081] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,954 PID:6081] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,955 PID:6081] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,955 PID:6081] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,956 PID:6081] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [d578aa764bcd INFO 2022-11-07 10:38:54,956 PID:6081] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,956 PID:6081] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,956 PID:6081] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,956 PID:6081] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,957 PID:6081] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,958 PID:6081] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,958 PID:6081] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,959 PID:6081] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,960 PID:6081] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,960 PID:6081] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,961 PID:6081] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,961 PID:6081] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,962 PID:6081] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,963 PID:6081] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-1.npy PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] [d578aa764bcd INFO 2022-11-07 10:38:54,963 PID:6081] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,964 PID:6081] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:38:54,965 PID:6081] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:38:54,965 PID:6081] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6081] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6081] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6081] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6081] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([9000]) [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6081] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:54,967 PID:6081] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:38:54,966 PID:6082] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:54,967 PID:6082] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,967 PID:6083] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:38:54,967 PID:6083] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,976 PID:6082] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,976 PID:6083] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,977 PID:6083] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,977 PID:6082] Loading node feature[feat] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/feat-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,978 PID:6083] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,978 PID:6082] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,978 PID:6083] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,979 PID:6082] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,979 PID:6083] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,980 PID:6083] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,980 PID:6082] Loading node feature[label] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/label-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,980 PID:6082] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,980 PID:6083] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,981 PID:6082] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,981 PID:6083] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:38:54,981 PID:6083] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6083] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6083] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6083] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6082] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6083] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,982 PID:6082] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,983 PID:6082] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,983 PID:6083] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,984 PID:6082] Loading node feature[year] of ntype[paper] from /tmp/tmpg9v2dkep/chunked-data/node_data/paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,984 PID:6083] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,984 PID:6081] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6082] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([450, 3]) [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6083] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6082] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6082] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6082] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([450]) [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6082] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,985 PID:6083] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,986 PID:6082] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,986 PID:6083] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,987 PID:6083] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,987 PID:6082] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,988 PID:6082] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,988 PID:6083] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [d578aa764bcd INFO 2022-11-07 10:38:54,988 PID:6082] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,988 PID:6083] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6082] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/author:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6083] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6083] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6083] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6083] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:38:54,989 PID:6083] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:38:54,990 PID:6083] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution6.txt [d578aa764bcd INFO 2022-11-07 10:38:54,990 PID:6082] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,991 PID:6082] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,992 PID:6082] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/institution:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,994 PID:6082] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,995 PID:6082] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,996 PID:6082] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:cites:paper/count-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,997 PID:6082] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:38:54,998 PID:6082] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [d578aa764bcd INFO 2022-11-07 10:38:54,999 PID:6082] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [d578aa764bcd INFO 2022-11-07 10:38:54,999 PID:6082] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:55,000 PID:6082] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:55,000 PID:6082] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:55,000 PID:6082] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([9000]) [d578aa764bcd INFO 2022-11-07 10:38:55,000 PID:6082] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([4500]) [d578aa764bcd INFO 2022-11-07 10:38:55,000 PID:6082] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:38:55,001 PID:6081] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:38:55,006 PID:6083] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution7.txt [d578aa764bcd INFO 2022-11-07 10:38:55,013 PID:6081] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:55,018 PID:6082] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution4.txt [d578aa764bcd INFO 2022-11-07 10:38:55,022 PID:6083] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:55,026 PID:6081] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:55,035 PID:6082] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:affiliated_with:institution5.txt [d578aa764bcd INFO 2022-11-07 10:38:55,037 PID:6081] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:55,039 PID:6083] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:38:55,048 PID:6081] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:55,051 PID:6082] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:55,056 PID:6083] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:55,058 PID:6081] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:55,067 PID:6081] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:55,073 PID:6082] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:55,073 PID:6083] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:38:55,077 PID:6081] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:38:55,090 PID:6083] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper6.txt [d578aa764bcd INFO 2022-11-07 10:38:55,091 PID:6082] Loading edges of etype[author:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/author:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:55,094 PID:6081] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:38:55,107 PID:6083] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper7.txt [d578aa764bcd INFO 2022-11-07 10:38:55,108 PID:6081] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:38:55,114 PID:6082] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:55,121 PID:6081] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:38:55,129 PID:6083] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author6.txt [d578aa764bcd INFO 2022-11-07 10:38:55,136 PID:6082] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:55,137 PID:6081] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:38:55,147 PID:6083] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author7.txt [d578aa764bcd INFO 2022-11-07 10:38:55,150 PID:6081] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:38:55,155 PID:6082] Loading edges of etype[institution:writes:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/institution:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:55,162 PID:6081] [Rank: 0] Done reading edge_file: 4, (23400,) [d578aa764bcd INFO 2022-11-07 10:38:55,163 PID:6081] [Rank: 0] Done reading dataset deom /tmp/tmpg9v2dkep/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:55,164 PID:6083] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:55,164 PID:6083] [Rank: 2] Done reading dataset deom /tmp/tmpg9v2dkep/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:55,173 PID:6082] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:38:55,193 PID:6082] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper4.txt [d578aa764bcd INFO 2022-11-07 10:38:55,205 PID:6082] Loading edges of etype[paper:cites:paper] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:cites:paper5.txt [d578aa764bcd INFO 2022-11-07 10:38:55,215 PID:6082] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:38:55,224 PID:6082] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author4.txt PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-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 tomli==2.0.1 Best match: tomli 2.0.1 Adding tomli 2.0.1 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 [d578aa764bcd INFO 2022-11-07 10:38:55,232 PID:6082] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg9v2dkep/chunked-data/edge_index/paper:rev_writes:author5.txt [d578aa764bcd INFO 2022-11-07 10:38:55,241 PID:6082] [Rank: 1] Done reading edge_file: 4, (23400,) [d578aa764bcd INFO 2022-11-07 10:38:55,241 PID:6082] [Rank: 1] Done reading dataset deom /tmp/tmpg9v2dkep/chunked-data [d578aa764bcd INFO 2022-11-07 10:38:55,331 PID:6082] [Rank: 1] Done augmenting edge_data: 6, (23400,) [d578aa764bcd INFO 2022-11-07 10:38:55,331 PID:6082] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:55,331 PID:6083] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:38:55,331 PID:6083] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:55,332 PID:6083] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:55,332 PID:6082] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:38:55,332 PID:6081] [Rank: 0] Done augmenting edge_data: 6, (23400,) [d578aa764bcd INFO 2022-11-07 10:38:55,332 PID:6081] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:38:55,333 PID:6081] [Rank: 0] processing node feature: paper/feat Adding pytz 2022.2.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for python-dateutil==2.8.2 Best match: python-dateutil 2.8.2 Adding python-dateutil 2.8.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for importlib-metadata==4.12.0 Best match: importlib-metadata 4.12.0 Adding importlib-metadata 4.12.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for packaging==21.3 Best match: packaging 21.3 Adding packaging 21.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for zipp==3.8.1 Best match: zipp 3.8.1 Adding zipp 3.8.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pyparsing==3.0.9 Best match: pyparsing 3.0.9 Adding pyparsing 3.0.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dglgo==0.0.2 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: post1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.4 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.5 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-2.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, ~/jenkins/workspace/dgl_PR-4814 [d578aa764bcd INFO 2022-11-07 10:38:55,552 PID:6082] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:55,552 PID:6081] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:55,552 PID:6083] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:38:55,758 PID:6081] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:55,758 PID:6082] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:55,758 PID:6083] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:55,975 PID:6082] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:55,975 PID:6081] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:38:55,974 PID:6083] [Rank: 2] processing node feature: paper/year PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:38:56,180 PID:6083] [Rank: 2] Total time for node feature exchange: 0:00:00.848557 [d578aa764bcd INFO 2022-11-07 10:38:56,180 PID:6081] [Rank: 0] Total time for node feature exchange: 0:00:00.847734 [d578aa764bcd INFO 2022-11-07 10:38:56,181 PID:6081] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:56,181 PID:6081] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:56,181 PID:6083] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:56,181 PID:6082] [Rank: 1] Total time for node feature exchange: 0:00:00.849356 [d578aa764bcd INFO 2022-11-07 10:38:56,181 PID:6083] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:38:56,182 PID:6082] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:38:56,182 PID:6082] [Rank: 1] processing node feature: author:writes:paper/orig_ids Collecting psutil Downloading psutil-5.9.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 291.4/291.4 kB 10.1 MB/s eta 0:00:00 [d578aa764bcd INFO 2022-11-07 10:38:56,445 PID:6082] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:56,445 PID:6083] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:56,446 PID:6081] [Rank: 0] processing node feature: author:writes:paper/year Installing collected packages: psutil [d578aa764bcd INFO 2022-11-07 10:38:56,756 PID:6083] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:56,756 PID:6081] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:38:56,756 PID:6082] [Rank: 1] processing node feature: institution:writes:paper/year Successfully installed psutil-5.9.3 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 [d578aa764bcd INFO 2022-11-07 10:38:57,077 PID:6082] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:57,077 PID:6081] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:38:57,077 PID:6083] [Rank: 2] processing node feature: paper:cites:paper/count PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-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-4814 collecting ... [d578aa764bcd INFO 2022-11-07 10:38:57,418 PID:6083] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:57,418 PID:6081] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:57,418 PID:6082] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6083] [Rank: 2] Total time for node feature exchange: 0:00:01.559334 [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6083] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6081] [Rank: 0] Total time for node feature exchange: 0:00:01.560049 [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6081] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6082] [Rank: 1] Total time for node feature exchange: 0:00:01.559438 [d578aa764bcd INFO 2022-11-07 10:38:57,741 PID:6082] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:38:58,169 PID:6081] [Rank: 0] Time to send/rcv edge data: 0:00:00.148887 [d578aa764bcd INFO 2022-11-07 10:38:58,169 PID:6083] [Rank: 2] Time to send/rcv edge data: 0:00:00.148567 [d578aa764bcd INFO 2022-11-07 10:38:58,170 PID:6082] [Rank: 1] Time to send/rcv edge data: 0:00:00.149598 [d578aa764bcd INFO 2022-11-07 10:38:58,271 PID:6081] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:58,304 PID:6081] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:58,320 PID:6082] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:58,329 PID:6083] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:38:58,367 PID:6082] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:58,376 PID:6083] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:38:58,378 PID:6082] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:58,378 PID:6083] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:58,378 PID:6081] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:38:58,443 PID:6082] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:58,443 PID:6081] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:58,443 PID:6083] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:38:58,573 PID:6082] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([4180]) [d578aa764bcd INFO 2022-11-07 10:38:58,573 PID:6082] [Rank: 1] key: author:writes:paper/year v: torch.Size([4180]) [d578aa764bcd INFO 2022-11-07 10:38:58,573 PID:6082] [Rank: 1] key: institution:writes:paper/year v: torch.Size([4135]) [d578aa764bcd INFO 2022-11-07 10:38:58,573 PID:6082] [Rank: 1] key: paper:cites:paper/count v: torch.Size([8257]) [d578aa764bcd INFO 2022-11-07 10:38:58,573 PID:6082] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([4254]) [d578aa764bcd INFO 2022-11-07 10:38:58,590 PID:6083] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([4188]) [d578aa764bcd INFO 2022-11-07 10:38:58,596 PID:6081] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([3632]) [d578aa764bcd INFO 2022-11-07 10:38:58,596 PID:6081] [Rank: 0] key: author:writes:paper/year v: torch.Size([3632]) [d578aa764bcd INFO 2022-11-07 10:38:58,596 PID:6081] [Rank: 0] key: institution:writes:paper/year v: torch.Size([3645]) [d578aa764bcd INFO 2022-11-07 10:38:58,596 PID:6081] [Rank: 0] key: paper:cites:paper/count v: torch.Size([7253]) [d578aa764bcd INFO 2022-11-07 10:38:58,596 PID:6081] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3707]) [d578aa764bcd INFO 2022-11-07 10:38:58,601 PID:6083] [Rank: 2] key: author:writes:paper/year v: torch.Size([4188]) [d578aa764bcd INFO 2022-11-07 10:38:58,601 PID:6083] [Rank: 2] key: institution:writes:paper/year v: torch.Size([4220]) [d578aa764bcd INFO 2022-11-07 10:38:58,601 PID:6083] [Rank: 2] key: paper:cites:paper/count v: torch.Size([8490]) [d578aa764bcd INFO 2022-11-07 10:38:58,602 PID:6083] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([4039]) [d578aa764bcd INFO 2022-11-07 10:38:58,714 PID:6081] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:58,714 PID:6083] [Rank: 2] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:58,715 PID:6082] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:38:59,025 PID:6081] There are 19046 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:38:59,262 PID:6083] There are 21802 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:38:59,264 PID:6082] There are 21552 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:38:59,345 PID:6083] [Rank: 2] Time to create dgl objects: 0:00:00.630043 [d578aa764bcd INFO 2022-11-07 10:38:59,345 PID:6082] [Rank: 1] Time to create dgl objects: 0:00:00.629740 [d578aa764bcd INFO 2022-11-07 10:38:59,345 PID:6082] [Rank: 1] Total execution time of the program: 0:00:04.449273 [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:59,345 PID:6083] [Rank: 2] Total execution time of the program: 0:00:04.449243 [d578aa764bcd INFO 2022-11-07 10:38:59,346 PID:6083] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:59,347 PID:6082] [Rank: 1] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:38:59,347 PID:6081] [Rank: 0] Time to create dgl objects: 0:00:00.632165 [d578aa764bcd INFO 2022-11-07 10:38:59,347 PID:6081] [Rank: 0] Total execution time of the program: 0:00:04.452387 [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:38:59,348 PID:6081] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] collected 81 items tests/go/test_model.py::test_gcn[g0] PASSED [ 1%] tests/go/test_model.py::test_gcn_block[g0] PASSED [ 2%] tests/go/test_model.py::test_gat[g0] PASSED [ 3%] tests/go/test_model.py::test_gat_block[g0] PASSED [ 4%] tests/go/test_model.py::test_gin[g0] PASSED [ 6%] tests/go/test_model.py::test_sage[g0] PASSED [ 7%] tests/go/test_model.py::test_sage_block[g0] PASSED [ 8%] tests/go/test_model.py::test_sgc[g0] PASSED [ 9%] tests/go/test_model.py::test_bilinear PASSED [ 11%] tests/go/test_model.py::test_ele PASSED [ 12%] tests/go/test_model.py::test_ogbg_gin[True] PASSED [ 40%] tests/tools/test_dist_part.py::test_pipeline_basics[4-1] PASSED [ 43%] tests/tools/test_dist_part.py::test_pipeline_basics[4-3] PASSED [ 45%] tests/tools/test_dist_part.py::test_pipeline_basics[4-4] Done with creating chunked graph PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 13%] tests/go/test_model.py::test_ogbg_gin[False] PASSED [ 14%] tests/go/test_model.py::test_pna PASSED [ 16%] tests/go/test_pipeline.py::test_nodepred_data[cora] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] INFO:root:Changing directory to /tmp/tmp_4m8hh8b/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp_4m8hh8b/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp_4m8hh8b/parted_data --input-dir /tmp/tmp_4m8hh8b/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp_4m8hh8b/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp_4m8hh8b/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp_4m8hh8b/parted_data --input-dir /tmp/tmp_4m8hh8b/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp_4m8hh8b/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp_4m8hh8b/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp_4m8hh8b/parted_data --input-dir /tmp/tmp_4m8hh8b/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp_4m8hh8b/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp_4m8hh8b/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp_4m8hh8b/parted_data --input-dir /tmp/tmp_4m8hh8b/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp_4m8hh8b/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp_4m8hh8b/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp_4m8hh8b/parted_data --input-dir /tmp/tmp_4m8hh8b/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp_4m8hh8b/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 [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:39:04,460 PID:6761] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:39:04,471 PID:6757] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:39:04,481 PID:6759] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6753] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6761] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6757] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6759] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6761] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:04,482 PID:6761] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:04,483 PID:6753] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:04,483 PID:6757] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:04,484 PID:6757] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:04,483 PID:6759] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:04,484 PID:6759] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:04,484 PID:6753] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:04,484 PID:6753] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:04,485 PID:6761] [Rank: 0] Reading file: /tmp/tmp_4m8hh8b/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:04,486 PID:6759] [Rank: 3] Reading file: /tmp/tmp_4m8hh8b/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:04,487 PID:6757] [Rank: 1] Reading file: /tmp/tmp_4m8hh8b/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:04,487 PID:6753] [Rank: 2] Reading file: /tmp/tmp_4m8hh8b/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:04,504 PID:6761] [Rank: 0] Reading file: /tmp/tmp_4m8hh8b/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:04,505 PID:6759] [Rank: 3] Reading file: /tmp/tmp_4m8hh8b/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:04,510 PID:6757] [Rank: 1] Reading file: /tmp/tmp_4m8hh8b/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:04,511 PID:6753] [Rank: 2] Reading file: /tmp/tmp_4m8hh8b/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:04,519 PID:6759] [Rank: 3] Reading file: /tmp/tmp_4m8hh8b/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:04,522 PID:6761] [Rank: 0] Reading file: /tmp/tmp_4m8hh8b/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:04,529 PID:6757] [Rank: 1] Reading file: /tmp/tmp_4m8hh8b/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:04,529 PID:6753] [Rank: 2] Reading file: /tmp/tmp_4m8hh8b/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:04,530 PID:6759] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:04,531 PID:6759] Loading node feature[feat] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,536 PID:6759] Loading node feature[label] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,536 PID:6761] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:04,537 PID:6761] Loading node feature[feat] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,537 PID:6759] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,537 PID:6759] Loading node feature[year] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,538 PID:6759] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/year-3.npy PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:39:04,539 PID:6759] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,539 PID:6759] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:04,540 PID:6759] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,541 PID:6759] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:39:04,544 PID:6761] Loading node feature[label] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,545 PID:6761] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,545 PID:6761] Loading node feature[year] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6753] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6753] Loading node feature[feat] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6761] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6761] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6761] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,546 PID:6761] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,547 PID:6761] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,547 PID:6761] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,548 PID:6761] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,548 PID:6761] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,549 PID:6761] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:04,550 PID:6761] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,550 PID:6761] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,550 PID:6761] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,550 PID:6761] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:04,550 PID:6761] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,551 PID:6761] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:39:04,551 PID:6753] Loading node feature[label] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,551 PID:6753] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] Loading node feature[year] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6757] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6759] Loading edges of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,552 PID:6753] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,553 PID:6757] Loading node feature[feat] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,553 PID:6753] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,553 PID:6753] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,554 PID:6753] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,554 PID:6753] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,555 PID:6753] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:39:04,563 PID:6761] Loading edges of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:04,564 PID:6759] Loading edges of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:04,567 PID:6757] Loading node feature[label] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,568 PID:6757] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,569 PID:6757] Loading node feature[year] of ntype[paper] from /tmp/tmp_4m8hh8b/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6757] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6757] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6757] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6757] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6757] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,571 PID:6753] Loading edges of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:04,572 PID:6757] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,573 PID:6757] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,574 PID:6757] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,575 PID:6757] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:04,575 PID:6761] Loading edges of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:04,576 PID:6757] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:39:04,583 PID:6759] Loading edges of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:04,586 PID:6761] Loading edges of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:04,593 PID:6753] Loading edges of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:04,596 PID:6757] Loading edges of etype[author:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:04,598 PID:6761] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:39:04,600 PID:6759] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:39:04,610 PID:6761] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,610 PID:6761] [Rank: 0] Done reading dataset deom /tmp/tmp_4m8hh8b/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:04,612 PID:6753] Loading edges of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:04,614 PID:6759] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,614 PID:6759] [Rank: 3] Done reading dataset deom /tmp/tmp_4m8hh8b/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:04,615 PID:6757] Loading edges of etype[institution:writes:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:04,633 PID:6753] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:39:04,646 PID:6757] Loading edges of etype[paper:cites:paper] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:04,652 PID:6753] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,652 PID:6753] [Rank: 2] Done reading dataset deom /tmp/tmp_4m8hh8b/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:04,670 PID:6757] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp_4m8hh8b/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:39:04,687 PID:6757] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,687 PID:6757] [Rank: 1] Done reading dataset deom /tmp/tmp_4m8hh8b/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6759] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6759] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6757] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6757] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6761] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6761] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6759] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6757] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6753] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:04,846 PID:6753] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:04,847 PID:6761] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:04,847 PID:6753] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:05,131 PID:6761] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:05,131 PID:6757] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:05,131 PID:6759] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:05,131 PID:6753] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:05,422 PID:6761] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:05,422 PID:6757] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:05,422 PID:6759] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:05,422 PID:6753] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:05,705 PID:6761] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:05,705 PID:6759] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:05,705 PID:6753] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:05,705 PID:6757] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:05,999 PID:6757] [Rank: 1] Total time for node feature exchange: 0:00:01.152848 [d578aa764bcd INFO 2022-11-07 10:39:05,999 PID:6759] [Rank: 3] Total time for node feature exchange: 0:00:01.152837 [d578aa764bcd INFO 2022-11-07 10:39:05,999 PID:6761] [Rank: 0] Total time for node feature exchange: 0:00:01.152429 [d578aa764bcd INFO 2022-11-07 10:39:05,999 PID:6753] [Rank: 2] Total time for node feature exchange: 0:00:01.152088 [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6753] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6753] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6759] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6759] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6761] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6761] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6757] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:06,000 PID:6757] [Rank: 1] processing node feature: author:writes:paper/orig_ids PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:39:06,685 PID:6759] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:06,685 PID:6761] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:06,685 PID:6753] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:06,685 PID:6757] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:07,389 PID:6761] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:07,389 PID:6759] [Rank: 3] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:07,390 PID:6757] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:07,390 PID:6753] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:08,126 PID:6753] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:08,127 PID:6761] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:08,127 PID:6757] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:08,127 PID:6759] [Rank: 3] processing node feature: paper:cites:paper/count PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 17%] tests/go/test_pipeline.py::test_nodepred_data[citeseer] [d578aa764bcd INFO 2022-11-07 10:39:08,813 PID:6753] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:08,813 PID:6761] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:08,813 PID:6759] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:08,814 PID:6757] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6759] [Rank: 3] Total time for node feature exchange: 0:00:03.490857 [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6759] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6761] [Rank: 0] Total time for node feature exchange: 0:00:03.490887 [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6761] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6757] [Rank: 1] Total time for node feature exchange: 0:00:03.490770 [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6757] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6753] [Rank: 2] Total time for node feature exchange: 0:00:03.490984 [d578aa764bcd INFO 2022-11-07 10:39:09,491 PID:6753] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:10,030 PID:6761] [Rank: 0] Time to send/rcv edge data: 0:00:00.011364 [d578aa764bcd INFO 2022-11-07 10:39:10,030 PID:6759] [Rank: 3] Time to send/rcv edge data: 0:00:00.011442 [d578aa764bcd INFO 2022-11-07 10:39:10,030 PID:6757] [Rank: 1] Time to send/rcv edge data: 0:00:00.011088 [d578aa764bcd INFO 2022-11-07 10:39:10,030 PID:6753] [Rank: 2] Time to send/rcv edge data: 0:00:00.011137 [d578aa764bcd INFO 2022-11-07 10:39:10,087 PID:6759] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:10,087 PID:6761] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:10,128 PID:6759] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:10,128 PID:6761] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:10,146 PID:6757] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:10,147 PID:6753] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:10,197 PID:6757] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:10,199 PID:6753] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:10,203 PID:6753] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:10,203 PID:6757] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:10,203 PID:6761] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:10,203 PID:6759] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:10,286 PID:6759] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:10,286 PID:6761] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:10,287 PID:6757] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:10,287 PID:6753] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:10,387 PID:6757] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([2555]) [d578aa764bcd INFO 2022-11-07 10:39:10,388 PID:6757] [Rank: 1] key: author:writes:paper/year v: torch.Size([2555]) [d578aa764bcd INFO 2022-11-07 10:39:10,388 PID:6757] [Rank: 1] key: institution:writes:paper/year v: torch.Size([2496]) [d578aa764bcd INFO 2022-11-07 10:39:10,388 PID:6757] [Rank: 1] key: paper:cites:paper/count v: torch.Size([5009]) [d578aa764bcd INFO 2022-11-07 10:39:10,388 PID:6757] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3169]) [d578aa764bcd INFO 2022-11-07 10:39:10,425 PID:6759] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([3204]) [d578aa764bcd INFO 2022-11-07 10:39:10,426 PID:6759] [Rank: 3] key: author:writes:paper/year v: torch.Size([3204]) [d578aa764bcd INFO 2022-11-07 10:39:10,426 PID:6759] [Rank: 3] key: institution:writes:paper/year v: torch.Size([3194]) [d578aa764bcd INFO 2022-11-07 10:39:10,426 PID:6759] [Rank: 3] key: paper:cites:paper/count v: torch.Size([6439]) [d578aa764bcd INFO 2022-11-07 10:39:10,426 PID:6759] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([2751]) [d578aa764bcd INFO 2022-11-07 10:39:10,430 PID:6753] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3065]) [d578aa764bcd INFO 2022-11-07 10:39:10,430 PID:6753] [Rank: 2] key: author:writes:paper/year v: torch.Size([3065]) [d578aa764bcd INFO 2022-11-07 10:39:10,430 PID:6753] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3124]) [d578aa764bcd INFO 2022-11-07 10:39:10,430 PID:6753] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6188]) [d578aa764bcd INFO 2022-11-07 10:39:10,430 PID:6753] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2927]) [d578aa764bcd INFO 2022-11-07 10:39:10,445 PID:6761] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([3176]) [d578aa764bcd INFO 2022-11-07 10:39:10,445 PID:6761] [Rank: 0] key: author:writes:paper/year v: torch.Size([3176]) [d578aa764bcd INFO 2022-11-07 10:39:10,445 PID:6761] [Rank: 0] key: institution:writes:paper/year v: torch.Size([3186]) [d578aa764bcd INFO 2022-11-07 10:39:10,445 PID:6761] [Rank: 0] key: paper:cites:paper/count v: torch.Size([6364]) [d578aa764bcd INFO 2022-11-07 10:39:10,445 PID:6761] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3153]) [d578aa764bcd INFO 2022-11-07 10:39:10,615 PID:6757] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:10,615 PID:6761] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:10,615 PID:6759] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:10,616 PID:6753] [Rank: 2] Done resolving orig_node_id for local node_ids... 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] [d578aa764bcd INFO 2022-11-07 10:39:10,984 PID:6759] There are 16198 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:39:10,984 PID:6761] There are 16463 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:39:11,154 PID:6757] There are 13875 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:39:11,206 PID:6753] There are 15864 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:39:11,237 PID:6759] [Rank: 3] Time to create dgl objects: 0:00:00.621250 [d578aa764bcd INFO 2022-11-07 10:39:11,237 PID:6757] [Rank: 1] Time to create dgl objects: 0:00:00.621301 [d578aa764bcd INFO 2022-11-07 10:39:11,237 PID:6753] [Rank: 2] Time to create dgl objects: 0:00:00.621026 [d578aa764bcd INFO 2022-11-07 10:39:11,238 PID:6759] [Rank: 3] Total execution time of the program: 0:00:06.754101 [d578aa764bcd INFO 2022-11-07 10:39:11,238 PID:6757] [Rank: 1] Total execution time of the program: 0:00:06.754285 [d578aa764bcd INFO 2022-11-07 10:39:11,238 PID:6753] [Rank: 2] Total execution time of the program: 0:00:06.753589 [d578aa764bcd INFO 2022-11-07 10:39:11,238 PID:6759] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:11,239 PID:6753] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:11,239 PID:6757] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:11,240 PID:6761] [Rank: 0] Time to create dgl objects: 0:00:00.623870 [d578aa764bcd INFO 2022-11-07 10:39:11,240 PID:6761] [Rank: 0] Total execution time of the program: 0:00:06.757858 [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:11,241 PID:6761] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 48%] tests/tools/test_dist_part.py::test_pipeline_basics[4-8] Done with creating chunked graph PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] INFO:root:Changing directory to /tmp/tmpl3xka0on/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpl3xka0on/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl3xka0on/parted_data --input-dir /tmp/tmpl3xka0on/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl3xka0on/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpl3xka0on/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl3xka0on/parted_data --input-dir /tmp/tmpl3xka0on/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl3xka0on/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpl3xka0on/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl3xka0on/parted_data --input-dir /tmp/tmpl3xka0on/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl3xka0on/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpl3xka0on/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl3xka0on/parted_data --input-dir /tmp/tmpl3xka0on/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl3xka0on/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpl3xka0on/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl3xka0on/parted_data --input-dir /tmp/tmpl3xka0on/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl3xka0on/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] PASSED [ 18%] tests/go/test_pipeline.py::test_nodepred_data[pubmed] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] [d578aa764bcd INFO 2022-11-07 10:39:17,447 PID:7409] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:39:17,456 PID:7414] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:39:17,457 PID:7405] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:39:17,459 PID:7411] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:39:17,459 PID:7409] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:17,459 PID:7409] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:17,459 PID:7409] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:17,459 PID:7411] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:17,460 PID:7411] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:17,460 PID:7411] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:17,461 PID:7409] [Rank: 0] Reading file: /tmp/tmpl3xka0on/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:17,462 PID:7411] [Rank: 3] Reading file: /tmp/tmpl3xka0on/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:17,468 PID:7405] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:17,468 PID:7414] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:39:17,469 PID:7414] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:17,469 PID:7414] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:17,469 PID:7405] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:17,469 PID:7405] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:17,472 PID:7405] [Rank: 2] Reading file: /tmp/tmpl3xka0on/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:17,472 PID:7414] [Rank: 1] Reading file: /tmp/tmpl3xka0on/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:17,481 PID:7409] [Rank: 0] Reading file: /tmp/tmpl3xka0on/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:17,482 PID:7411] [Rank: 3] Reading file: /tmp/tmpl3xka0on/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:17,493 PID:7405] [Rank: 2] Reading file: /tmp/tmpl3xka0on/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:17,498 PID:7414] [Rank: 1] Reading file: /tmp/tmpl3xka0on/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:17,501 PID:7409] [Rank: 0] Reading file: /tmp/tmpl3xka0on/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:17,503 PID:7411] [Rank: 3] Reading file: /tmp/tmpl3xka0on/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:17,512 PID:7405] [Rank: 2] Reading file: /tmp/tmpl3xka0on/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:17,515 PID:7409] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:17,515 PID:7409] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,519 PID:7409] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,519 PID:7411] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:17,519 PID:7411] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,519 PID:7409] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,520 PID:7409] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,520 PID:7409] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,520 PID:7409] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,520 PID:7414] [Rank: 1] Reading file: /tmp/tmpl3xka0on/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:17,521 PID:7409] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,521 PID:7409] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,522 PID:7409] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,523 PID:7409] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,523 PID:7409] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,523 PID:7409] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,524 PID:7409] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,524 PID:7409] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,524 PID:7409] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,525 PID:7409] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:17,525 PID:7409] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,526 PID:7409] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:39:17,527 PID:7405] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:17,527 PID:7405] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,533 PID:7411] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,535 PID:7411] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,536 PID:7411] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,535 PID:7409] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:39:17,537 PID:7411] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,537 PID:7405] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,538 PID:7405] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,538 PID:7411] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,539 PID:7405] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,539 PID:7411] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,540 PID:7405] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,540 PID:7411] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,541 PID:7405] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7405] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7411] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7411] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7414] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7414] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7411] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7411] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7411] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,542 PID:7405] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7411] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7405] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7405] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7405] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7405] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7405] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,545 PID:7411] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,545 PID:7405] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,546 PID:7405] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,546 PID:7411] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,547 PID:7405] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,547 PID:7411] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,547 PID:7405] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,548 PID:7411] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,544 PID:7409] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:17,548 PID:7405] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,549 PID:7411] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,550 PID:7405] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,550 PID:7411] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,551 PID:7405] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,551 PID:7411] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:17,552 PID:7411] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:17,552 PID:7405] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7405] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7411] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7411] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7411] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7411] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:17,554 PID:7411] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,554 PID:7411] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution6.txt [d578aa764bcd INFO 2022-11-07 10:39:17,554 PID:7405] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,555 PID:7405] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,555 PID:7405] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,555 PID:7405] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:17,555 PID:7405] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,556 PID:7405] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution4.txt [d578aa764bcd INFO 2022-11-07 10:39:17,553 PID:7409] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:17,556 PID:7414] Loading node feature[feat] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,557 PID:7414] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,558 PID:7414] Loading node feature[label] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,560 PID:7414] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,561 PID:7414] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,562 PID:7414] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,563 PID:7414] Loading node feature[year] of ntype[paper] from /tmp/tmpl3xka0on/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,560 PID:7409] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:17,564 PID:7414] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:39:17,565 PID:7414] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,565 PID:7414] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,565 PID:7414] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:39:17,565 PID:7414] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,566 PID:7414] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,567 PID:7414] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,568 PID:7414] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,569 PID:7411] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution7.txt [d578aa764bcd INFO 2022-11-07 10:39:17,570 PID:7409] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:17,570 PID:7414] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,571 PID:7414] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,572 PID:7414] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,573 PID:7414] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,574 PID:7405] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution5.txt [d578aa764bcd INFO 2022-11-07 10:39:17,574 PID:7414] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:17,575 PID:7414] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:17,577 PID:7414] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,577 PID:7414] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,577 PID:7414] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,577 PID:7414] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:39:17,577 PID:7414] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:17,578 PID:7414] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:39:17,579 PID:7409] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:17,587 PID:7411] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:17,592 PID:7405] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:17,598 PID:7414] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:39:17,599 PID:7409] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:17,605 PID:7411] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:17,611 PID:7405] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:17,616 PID:7414] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:17,618 PID:7409] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:39:17,622 PID:7411] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:17,629 PID:7405] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:17,636 PID:7409] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:39:17,637 PID:7411] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:17,639 PID:7414] Loading edges of etype[author:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:17,646 PID:7405] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:17,654 PID:7409] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,654 PID:7409] [Rank: 0] Done reading dataset deom /tmp/tmpl3xka0on/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:17,655 PID:7411] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:17,660 PID:7414] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:17,661 PID:7405] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:17,673 PID:7405] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:17,674 PID:7411] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:17,677 PID:7414] Loading edges of etype[institution:writes:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:17,684 PID:7405] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author4.txt [d578aa764bcd INFO 2022-11-07 10:39:17,689 PID:7411] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author6.txt [d578aa764bcd INFO 2022-11-07 10:39:17,692 PID:7414] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:17,693 PID:7405] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author5.txt [d578aa764bcd INFO 2022-11-07 10:39:17,700 PID:7411] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author7.txt [d578aa764bcd INFO 2022-11-07 10:39:17,704 PID:7405] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,704 PID:7405] [Rank: 2] Done reading dataset deom /tmp/tmpl3xka0on/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:17,709 PID:7414] Loading edges of etype[paper:cites:paper] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:17,712 PID:7411] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,712 PID:7411] [Rank: 3] Done reading dataset deom /tmp/tmpl3xka0on/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:17,727 PID:7414] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:39:17,746 PID:7414] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl3xka0on/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:39:17,756 PID:7414] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,756 PID:7414] [Rank: 1] Done reading dataset deom /tmp/tmpl3xka0on/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:17,915 PID:7409] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,915 PID:7409] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:17,915 PID:7405] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,915 PID:7405] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:17,916 PID:7405] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:17,916 PID:7409] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:17,923 PID:7411] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,923 PID:7411] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:17,924 PID:7411] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:17,937 PID:7414] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:39:17,937 PID:7414] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:17,938 PID:7414] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:18,223 PID:7411] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:18,223 PID:7409] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:18,223 PID:7414] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:18,223 PID:7405] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:18,543 PID:7411] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:18,543 PID:7409] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:18,543 PID:7405] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:18,543 PID:7414] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:18,869 PID:7411] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:18,869 PID:7414] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:18,869 PID:7405] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:18,869 PID:7409] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:19,178 PID:7411] [Rank: 3] Total time for node feature exchange: 0:00:01.254567 [d578aa764bcd INFO 2022-11-07 10:39:19,178 PID:7405] [Rank: 2] Total time for node feature exchange: 0:00:01.262367 [d578aa764bcd INFO 2022-11-07 10:39:19,178 PID:7409] [Rank: 0] Total time for node feature exchange: 0:00:01.262848 [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7411] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7411] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7405] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7405] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7414] [Rank: 1] Total time for node feature exchange: 0:00:01.240964 [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7409] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7409] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7414] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:19,179 PID:7414] [Rank: 1] processing node feature: author:writes:paper/orig_ids PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:39:19,893 PID:7414] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:19,894 PID:7405] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:19,894 PID:7409] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:19,894 PID:7411] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:20,590 PID:7411] [Rank: 3] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:20,590 PID:7405] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:20,590 PID:7409] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:20,590 PID:7414] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:21,261 PID:7411] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:21,261 PID:7409] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:21,261 PID:7414] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:21,261 PID:7405] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:21,894 PID:7414] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:21,894 PID:7405] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:21,894 PID:7409] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:21,894 PID:7411] [Rank: 3] processing node feature: paper:rev_writes:author/year PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] [d578aa764bcd INFO 2022-11-07 10:39:22,526 PID:7414] [Rank: 1] Total time for node feature exchange: 0:00:03.347030 [d578aa764bcd INFO 2022-11-07 10:39:22,527 PID:7414] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:22,526 PID:7405] [Rank: 2] Total time for node feature exchange: 0:00:03.347470 [d578aa764bcd INFO 2022-11-07 10:39:22,526 PID:7405] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:22,527 PID:7411] [Rank: 3] Total time for node feature exchange: 0:00:03.347713 [d578aa764bcd INFO 2022-11-07 10:39:22,527 PID:7409] [Rank: 0] Total time for node feature exchange: 0:00:03.347586 [d578aa764bcd INFO 2022-11-07 10:39:22,527 PID:7411] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:22,527 PID:7409] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:23,040 PID:7411] [Rank: 3] Time to send/rcv edge data: 0:00:00.012943 [d578aa764bcd INFO 2022-11-07 10:39:23,040 PID:7409] [Rank: 0] Time to send/rcv edge data: 0:00:00.013427 [d578aa764bcd INFO 2022-11-07 10:39:23,040 PID:7405] [Rank: 2] Time to send/rcv edge data: 0:00:00.013049 [d578aa764bcd INFO 2022-11-07 10:39:23,040 PID:7414] [Rank: 1] Time to send/rcv edge data: 0:00:00.013685 [d578aa764bcd INFO 2022-11-07 10:39:23,098 PID:7409] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:23,099 PID:7411] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:23,100 PID:7405] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:23,141 PID:7409] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:23,145 PID:7405] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:23,145 PID:7411] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:23,152 PID:7414] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:39:23,188 PID:7414] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:39:23,191 PID:7414] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:23,191 PID:7409] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:23,191 PID:7411] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:23,191 PID:7405] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:39:23,259 PID:7411] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:23,259 PID:7409] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:23,259 PID:7405] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:23,259 PID:7414] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:39:23,302 PID:7411] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([2910]) [d578aa764bcd INFO 2022-11-07 10:39:23,302 PID:7411] [Rank: 3] key: author:writes:paper/year v: torch.Size([2910]) [d578aa764bcd INFO 2022-11-07 10:39:23,302 PID:7411] [Rank: 3] key: institution:writes:paper/year v: torch.Size([2956]) [d578aa764bcd INFO 2022-11-07 10:39:23,302 PID:7411] [Rank: 3] key: paper:cites:paper/count v: torch.Size([5958]) [d578aa764bcd INFO 2022-11-07 10:39:23,302 PID:7411] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([2931]) [d578aa764bcd INFO 2022-11-07 10:39:23,333 PID:7409] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([2987]) [d578aa764bcd INFO 2022-11-07 10:39:23,333 PID:7409] [Rank: 0] key: author:writes:paper/year v: torch.Size([2987]) [d578aa764bcd INFO 2022-11-07 10:39:23,333 PID:7409] [Rank: 0] key: institution:writes:paper/year v: torch.Size([2923]) [d578aa764bcd INFO 2022-11-07 10:39:23,333 PID:7409] [Rank: 0] key: paper:cites:paper/count v: torch.Size([5867]) [d578aa764bcd INFO 2022-11-07 10:39:23,333 PID:7409] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3283]) [d578aa764bcd INFO 2022-11-07 10:39:23,381 PID:7405] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3090]) [d578aa764bcd INFO 2022-11-07 10:39:23,381 PID:7405] [Rank: 2] key: author:writes:paper/year v: torch.Size([3090]) [d578aa764bcd INFO 2022-11-07 10:39:23,382 PID:7405] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3079]) PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] [d578aa764bcd INFO 2022-11-07 10:39:23,386 PID:7405] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6166]) [d578aa764bcd INFO 2022-11-07 10:39:23,387 PID:7405] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2822]) [d578aa764bcd INFO 2022-11-07 10:39:23,387 PID:7414] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([3013]) [d578aa764bcd INFO 2022-11-07 10:39:23,387 PID:7414] [Rank: 1] key: author:writes:paper/year v: torch.Size([3013]) [d578aa764bcd INFO 2022-11-07 10:39:23,393 PID:7414] [Rank: 1] key: institution:writes:paper/year v: torch.Size([3042]) [d578aa764bcd INFO 2022-11-07 10:39:23,394 PID:7414] [Rank: 1] key: paper:cites:paper/count v: torch.Size([6009]) [d578aa764bcd INFO 2022-11-07 10:39:23,394 PID:7414] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([2964]) [d578aa764bcd INFO 2022-11-07 10:39:23,575 PID:7409] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:23,575 PID:7411] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:23,576 PID:7414] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:39:23,575 PID:7405] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] [d578aa764bcd INFO 2022-11-07 10:39:24,006 PID:7409] There are 15683 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:39:24,018 PID:7405] There are 15808 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:39:24,041 PID:7411] There are 15359 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:39:24,093 PID:7414] There are 15550 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:39:24,184 PID:7411] [Rank: 3] Time to create dgl objects: 0:00:00.608528 [d578aa764bcd INFO 2022-11-07 10:39:24,184 PID:7411] [Rank: 3] Total execution time of the program: 0:00:06.724199 [d578aa764bcd INFO 2022-11-07 10:39:24,184 PID:7405] [Rank: 2] Time to create dgl objects: 0:00:00.608442 [d578aa764bcd INFO 2022-11-07 10:39:24,184 PID:7414] [Rank: 1] Time to create dgl objects: 0:00:00.608191 [d578aa764bcd INFO 2022-11-07 10:39:24,184 PID:7414] [Rank: 1] Total execution time of the program: 0:00:06.715543 [d578aa764bcd INFO 2022-11-07 10:39:24,185 PID:7405] [Rank: 2] Total execution time of the program: 0:00:06.715541 [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:24,185 PID:7405] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:24,185 PID:7409] [Rank: 0] Time to create dgl objects: 0:00:00.609696 [d578aa764bcd INFO 2022-11-07 10:39:24,185 PID:7414] [Rank: 1] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:39:24,186 PID:7409] [Rank: 0] Total execution time of the program: 0:00:06.726481 [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:24,185 PID:7411] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:39:24,186 PID:7409] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] PASSED [ 51%] tests/tools/test_dist_part.py::test_pipeline_basics[8-1] PASSED [ 54%] tests/tools/test_dist_part.py::test_pipeline_basics[8-3] PASSED [ 56%] tests/tools/test_dist_part.py::test_pipeline_basics[8-4] PASSED [ 59%] tests/tools/test_dist_part.py::test_pipeline_basics[8-8] Done with creating chunked graph PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 19%] tests/go/test_pipeline.py::test_nodepred_data[csv] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] INFO:root:Changing directory to /tmp/tmp4vztkhs0/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp4vztkhs0/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=4 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=5 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=6 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4vztkhs0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=7 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 8 --partitions-dir /tmp/tmp4vztkhs0/parted_data --input-dir /tmp/tmp4vztkhs0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp4vztkhs0/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) Warning: Permanently added '127.0.0.5' (ECDSA) to the list of known hosts. cleanupu process runs 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. Warning: Permanently added '127.0.0.7' (ECDSA) to the list of known hosts. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] [d578aa764bcd INFO 2022-11-07 10:39:30,582 PID:8124] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:39:30,601 PID:8120] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:39:30,632 PID:8127] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:39:30,635 PID:8135] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:39:30,645 PID:8129] Added key: store_based_barrier_key:1 to store for rank: 5 [d578aa764bcd INFO 2022-11-07 10:39:30,646 PID:8112] Added key: store_based_barrier_key:1 to store for rank: 4 [d578aa764bcd INFO 2022-11-07 10:39:30,657 PID:8133] Added key: store_based_barrier_key:1 to store for rank: 7 [d578aa764bcd INFO 2022-11-07 10:39:30,657 PID:8129] Rank 5: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,657 PID:8138] Added key: store_based_barrier_key:1 to store for rank: 6 [d578aa764bcd INFO 2022-11-07 10:39:30,657 PID:8133] Rank 7: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,657 PID:8112] Rank 4: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,658 PID:8138] Rank 6: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,658 PID:8135] Rank 3: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,665 PID:8127] Rank 2: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,666 PID:8120] Rank 1: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,667 PID:8124] Rank 0: Completed store-based barrier for 8 nodes. [d578aa764bcd INFO 2022-11-07 10:39:30,667 PID:8124] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,667 PID:8124] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,668 PID:8120] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,668 PID:8120] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8112] [Rank: 4] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,668 PID:8135] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,668 PID:8127] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8127] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8129] [Rank: 5] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,668 PID:8133] [Rank: 7] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8133] [Rank: 7] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8129] [Rank: 5] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8138] [Rank: 6] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8138] [Rank: 6] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8112] [Rank: 4] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,669 PID:8135] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:39:30,671 PID:8124] [Rank: 0] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,672 PID:8120] [Rank: 1] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,672 PID:8112] [Rank: 4] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,672 PID:8138] [Rank: 6] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,672 PID:8129] [Rank: 5] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,672 PID:8135] [Rank: 3] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,673 PID:8127] [Rank: 2] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,673 PID:8133] [Rank: 7] Reading file: /tmp/tmp4vztkhs0/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:39:30,697 PID:8124] [Rank: 0] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,697 PID:8138] [Rank: 6] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,698 PID:8129] [Rank: 5] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,698 PID:8112] [Rank: 4] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,698 PID:8120] [Rank: 1] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,699 PID:8135] [Rank: 3] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,706 PID:8127] [Rank: 2] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,707 PID:8133] [Rank: 7] Reading file: /tmp/tmp4vztkhs0/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:39:30,719 PID:8138] [Rank: 6] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,720 PID:8129] [Rank: 5] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,720 PID:8120] [Rank: 1] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,720 PID:8112] [Rank: 4] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,721 PID:8135] [Rank: 3] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,721 PID:8124] [Rank: 0] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,734 PID:8127] [Rank: 2] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,735 PID:8133] [Rank: 7] Reading file: /tmp/tmp4vztkhs0/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:39:30,741 PID:8138] [Rank: 6] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,741 PID:8138] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,743 PID:8112] [Rank: 4] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,743 PID:8129] [Rank: 5] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,744 PID:8129] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,744 PID:8112] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,744 PID:8135] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,745 PID:8135] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,745 PID:8124] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,745 PID:8120] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,745 PID:8120] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,745 PID:8124] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,756 PID:8138] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,758 PID:8138] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,758 PID:8129] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,758 PID:8112] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,759 PID:8138] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,759 PID:8135] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,759 PID:8129] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,760 PID:8112] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,760 PID:8120] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8135] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,760 PID:8127] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,760 PID:8138] [Rank: 6] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8138] [Rank: 6] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8138] [Rank: 6] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,760 PID:8112] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8138] [Rank: 6] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8129] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8120] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8138] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8127] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,761 PID:8133] [Rank: 7] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8112] [Rank: 4] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8112] [Rank: 4] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8112] [Rank: 4] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8112] [Rank: 4] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8133] Loading node feature[feat] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/feat-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8135] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8112] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8138] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8120] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,762 PID:8129] [Rank: 5] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8129] [Rank: 5] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8129] [Rank: 5] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8129] [Rank: 5] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8129] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8112] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8124] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8138] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/institution:writes:paper/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8135] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8135] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8135] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,763 PID:8135] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,764 PID:8135] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,764 PID:8120] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,764 PID:8120] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,764 PID:8138] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:cites:paper/count-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,764 PID:8129] Loading edge feature[year] of etype[author:writes:paper] from 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of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,765 PID:8129] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/institution:writes:paper/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,765 PID:8138] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [d578aa764bcd INFO 2022-11-07 10:39:30,765 PID:8120] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,765 PID:8112] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:cites:paper/count-4.npy [d578aa764bcd INFO 2022-11-07 10:39:30,765 PID:8135] Loading edge feature[year] of etype[institution:writes:paper] from 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institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,766 PID:8138] [Rank: 6] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,766 PID:8138] [Rank: 6] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,766 PID:8120] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,766 PID:8129] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [d578aa764bcd INFO 2022-11-07 10:39:30,766 PID:8135] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8138] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution6.txt [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8120] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8135] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8112] [Rank: 4] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8112] [Rank: 4] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8112] [Rank: 4] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8112] [Rank: 4] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,767 PID:8112] [Rank: 4] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] [Rank: 5] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] [Rank: 5] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] [Rank: 5] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] [Rank: 5] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] [Rank: 5] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8124] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8124] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8124] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8124] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8112] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution4.txt [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8120] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8129] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution5.txt [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8135] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8135] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8135] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8135] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8135] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,768 PID:8124] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8135] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8120] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8120] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,769 PID:8120] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,770 PID:8120] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,770 PID:8120] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,770 PID:8124] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,770 PID:8120] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:39:30,771 PID:8124] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,772 PID:8124] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,773 PID:8124] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:39:30,775 PID:8124] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,775 PID:8124] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,775 PID:8127] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,775 PID:8124] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,776 PID:8124] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,776 PID:8124] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,776 PID:8124] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:39:30,776 PID:8133] Loading node feature[label] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/label-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,777 PID:8127] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,778 PID:8133] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,778 PID:8127] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,779 PID:8133] Loading node feature[year] of ntype[paper] from /tmp/tmp4vztkhs0/chunked-data/node_data/paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,779 PID:8127] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,780 PID:8127] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,780 PID:8127] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,780 PID:8127] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,780 PID:8127] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8133] [Rank: 7] node feature name: paper/feat, feature data shape: torch.Size([150, 3]) [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8133] [Rank: 7] node feature name: paper/label, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8133] [Rank: 7] node feature name: paper/orig_ids, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8133] [Rank: 7] node feature name: paper/year, feature data shape: torch.Size([150]) [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8133] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,781 PID:8127] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:39:30,783 PID:8133] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_data/author:writes:paper/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,783 PID:8127] Loading edge feature[year] of etype[institution:writes:paper] from 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/tmp/tmp4vztkhs0/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8127] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8127] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8127] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8127] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8127] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,787 PID:8138] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:30,788 PID:8127] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:39:30,788 PID:8133] [Rank: 7] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,788 PID:8133] [Rank: 7] edge feature name: author:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,788 PID:8133] [Rank: 7] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8133] [Rank: 7] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8133] [Rank: 7] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([1500]) [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8129] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8133] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:affiliated_with:institution7.txt [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8112] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:30,789 PID:8135] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:30,791 PID:8120] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:30,801 PID:8124] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:30,808 PID:8138] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:30,810 PID:8129] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:30,811 PID:8112] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:30,811 PID:8135] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:30,813 PID:8127] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:30,814 PID:8133] Loading edges of etype[author:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/author:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:30,817 PID:8120] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:30,825 PID:8124] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:30,833 PID:8138] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper6.txt [d578aa764bcd INFO 2022-11-07 10:39:30,833 PID:8129] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper5.txt [d578aa764bcd INFO 2022-11-07 10:39:30,835 PID:8133] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:30,836 PID:8112] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper4.txt [d578aa764bcd INFO 2022-11-07 10:39:30,836 PID:8135] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:39:30,838 PID:8127] Loading edges of etype[institution:writes:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:30,842 PID:8120] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:39:30,847 PID:8124] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:39:30,854 PID:8138] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author6.txt [d578aa764bcd INFO 2022-11-07 10:39:30,855 PID:8129] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author5.txt [d578aa764bcd INFO 2022-11-07 10:39:30,855 PID:8133] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper7.txt [d578aa764bcd INFO 2022-11-07 10:39:30,857 PID:8135] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:39:30,861 PID:8112] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author4.txt [d578aa764bcd INFO 2022-11-07 10:39:30,864 PID:8127] Loading edges of etype[paper:cites:paper] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:39:30,868 PID:8120] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:39:30,873 PID:8124] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:39:30,875 PID:8138] [Rank: 6] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,875 PID:8138] [Rank: 6] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,878 PID:8135] [Rank: 3] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,878 PID:8135] [Rank: 3] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,879 PID:8129] [Rank: 5] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,879 PID:8129] [Rank: 5] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,880 PID:8133] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author7.txt [d578aa764bcd INFO 2022-11-07 10:39:30,884 PID:8112] [Rank: 4] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,885 PID:8112] [Rank: 4] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,897 PID:8127] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4vztkhs0/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:39:30,908 PID:8120] [Rank: 1] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,908 PID:8120] [Rank: 1] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,917 PID:8127] [Rank: 2] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,917 PID:8127] [Rank: 2] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,932 PID:8133] [Rank: 7] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,932 PID:8133] [Rank: 7] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:30,943 PID:8124] [Rank: 0] Done reading edge_file: 4, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:30,944 PID:8124] [Rank: 0] Done reading dataset deom /tmp/tmp4vztkhs0/chunked-data [d578aa764bcd INFO 2022-11-07 10:39:31,614 PID:8129] [Rank: 5] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8129] [Rank: 5] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8124] [Rank: 0] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8124] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8127] [Rank: 2] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8127] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8129] [Rank: 5] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8133] [Rank: 7] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8133] [Rank: 7] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8120] [Rank: 1] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8120] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8112] [Rank: 4] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8112] [Rank: 4] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8138] [Rank: 6] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8138] [Rank: 6] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8135] [Rank: 3] Done augmenting edge_data: 6, (7800,) [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8135] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:39:31,616 PID:8135] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8127] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,616 PID:8133] [Rank: 7] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,616 PID:8112] [Rank: 4] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,616 PID:8138] [Rank: 6] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,615 PID:8124] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:39:31,639 PID:8120] [Rank: 1] processing node feature: paper/feat PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8127] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8133] [Rank: 7] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8129] [Rank: 5] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8112] [Rank: 4] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8120] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8135] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8138] [Rank: 6] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:39:32,911 PID:8124] [Rank: 0] processing node feature: paper/label PASSED [ 20%] tests/go/test_pipeline.py::test_nodepred_data[reddit] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8133] [Rank: 7] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8127] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8129] [Rank: 5] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8120] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8112] [Rank: 4] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8135] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8138] [Rank: 6] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:34,227 PID:8124] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:35,460 PID:8129] [Rank: 5] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,461 PID:8135] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,461 PID:8127] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,460 PID:8120] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,461 PID:8133] [Rank: 7] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,460 PID:8124] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,461 PID:8112] [Rank: 4] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:39:35,461 PID:8138] [Rank: 6] processing node feature: paper/year PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:39:36,684 PID:8124] [Rank: 0] Total time for node feature exchange: 0:00:05.068685 [d578aa764bcd INFO 2022-11-07 10:39:36,684 PID:8127] [Rank: 2] Total time for node feature exchange: 0:00:05.068586 [d578aa764bcd INFO 2022-11-07 10:39:36,684 PID:8120] [Rank: 1] Total time for node feature exchange: 0:00:05.044443 [d578aa764bcd INFO 2022-11-07 10:39:36,684 PID:8112] [Rank: 4] Total time for node feature exchange: 0:00:05.068789 [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8120] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8120] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8124] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8124] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8135] [Rank: 3] Total time for node feature exchange: 0:00:05.068953 [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8127] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8127] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8112] [Rank: 4] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8112] [Rank: 4] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8138] [Rank: 6] Total time for node feature exchange: 0:00:05.069531 [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8129] [Rank: 5] Total time for node feature exchange: 0:00:05.069630 [d578aa764bcd INFO 2022-11-07 10:39:36,685 PID:8133] [Rank: 7] Total time for node feature exchange: 0:00:05.069291 [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8133] [Rank: 7] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8133] [Rank: 7] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8135] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8135] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8129] [Rank: 5] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,686 PID:8129] [Rank: 5] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:39:36,734 PID:8138] [Rank: 6] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:39:36,734 PID:8138] [Rank: 6] processing node feature: author:writes:paper/orig_ids PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] PASSED [ 22%] tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8120] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8135] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8127] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8138] [Rank: 6] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8129] [Rank: 5] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8112] [Rank: 4] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8133] [Rank: 7] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:41,961 PID:8124] [Rank: 0] processing node feature: author:writes:paper/year PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8127] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8124] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8138] [Rank: 6] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8112] [Rank: 4] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8129] [Rank: 5] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8120] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8133] [Rank: 7] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:39:46,446 PID:8135] [Rank: 3] processing node feature: institution:writes:paper/year PASSED [ 23%] tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8135] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8127] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8124] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8112] [Rank: 4] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8129] [Rank: 5] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8138] [Rank: 6] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8133] [Rank: 7] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:39:50,775 PID:8120] [Rank: 1] processing node feature: paper:cites:paper/count PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] PASSED [ 24%] tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8124] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8138] [Rank: 6] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8127] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8135] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8112] [Rank: 4] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8133] [Rank: 7] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8120] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:39:54,807 PID:8129] [Rank: 5] processing node feature: paper:rev_writes:author/year PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] PASSED [ 25%] tests/go/test_pipeline.py::test_nodepred_model[gcn] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8120] [Rank: 1] Total time for node feature exchange: 0:00:22.247573 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8120] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8138] [Rank: 6] Total time for node feature exchange: 0:00:22.198700 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8138] [Rank: 6] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8112] [Rank: 4] Total time for node feature exchange: 0:00:22.247214 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8112] [Rank: 4] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8133] [Rank: 7] Total time for node feature exchange: 0:00:22.246929 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8127] [Rank: 2] Total time for node feature exchange: 0:00:22.247288 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8129] [Rank: 5] Total time for node feature exchange: 0:00:22.246415 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8127] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8124] [Rank: 0] Total time for node feature exchange: 0:00:22.247313 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8129] [Rank: 5] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8135] [Rank: 3] Total time for node feature exchange: 0:00:22.246910 [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8124] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8133] [Rank: 7] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:39:58,933 PID:8135] [Rank: 3] Done with edge features exchange. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g1] [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8120] [Rank: 1] Time to send/rcv edge data: 0:00:00.005582 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8127] [Rank: 2] Time to send/rcv edge data: 0:00:00.005661 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8124] [Rank: 0] Time to send/rcv edge data: 0:00:00.006556 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8112] [Rank: 4] Time to send/rcv edge data: 0:00:00.005728 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8138] [Rank: 6] Time to send/rcv edge data: 0:00:00.005428 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8129] [Rank: 5] Time to send/rcv edge data: 0:00:00.005639 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8135] [Rank: 3] Time to send/rcv edge data: 0:00:00.007076 [d578aa764bcd INFO 2022-11-07 10:40:00,483 PID:8133] [Rank: 7] Time to send/rcv edge data: 0:00:00.005661 [d578aa764bcd INFO 2022-11-07 10:40:00,576 PID:8112] [Rank: 4] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,577 PID:8127] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,578 PID:8129] [Rank: 5] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,578 PID:8138] [Rank: 6] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,579 PID:8133] [Rank: 7] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,579 PID:8135] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,580 PID:8120] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,588 PID:8124] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:00,609 PID:8112] [Rank: 4] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,611 PID:8127] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,611 PID:8133] [Rank: 7] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,611 PID:8129] [Rank: 5] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,612 PID:8138] [Rank: 6] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,614 PID:8120] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,614 PID:8135] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,621 PID:8124] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:00,622 PID:8135] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,622 PID:8120] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8124] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8127] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8138] [Rank: 6] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8112] [Rank: 4] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8129] [Rank: 5] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,623 PID:8133] [Rank: 7] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8124] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8127] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8120] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8133] [Rank: 7] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8138] [Rank: 6] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8135] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8112] [Rank: 4] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,661 PID:8129] [Rank: 5] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:00,664 PID:8129] [Rank: 5] key: author:writes:paper/orig_ids v: torch.Size([1371]) [d578aa764bcd INFO 2022-11-07 10:40:00,669 PID:8129] [Rank: 5] key: author:writes:paper/year v: torch.Size([1371]) [d578aa764bcd INFO 2022-11-07 10:40:00,669 PID:8129] [Rank: 5] key: institution:writes:paper/year v: torch.Size([1409]) [d578aa764bcd INFO 2022-11-07 10:40:00,669 PID:8129] [Rank: 5] key: paper:cites:paper/count v: torch.Size([2811]) [d578aa764bcd INFO 2022-11-07 10:40:00,669 PID:8129] [Rank: 5] key: paper:rev_writes:author/year v: torch.Size([1611]) [d578aa764bcd INFO 2022-11-07 10:40:00,673 PID:8135] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([1403]) [d578aa764bcd INFO 2022-11-07 10:40:00,673 PID:8135] [Rank: 3] key: author:writes:paper/year v: torch.Size([1403]) [d578aa764bcd INFO 2022-11-07 10:40:00,673 PID:8135] [Rank: 3] key: institution:writes:paper/year v: torch.Size([1352]) [d578aa764bcd INFO 2022-11-07 10:40:00,673 PID:8135] [Rank: 3] key: paper:cites:paper/count v: torch.Size([2774]) [d578aa764bcd INFO 2022-11-07 10:40:00,673 PID:8135] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([1413]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8112] [Rank: 4] key: author:writes:paper/orig_ids v: torch.Size([1287]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8112] [Rank: 4] key: author:writes:paper/year v: torch.Size([1287]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8112] [Rank: 4] key: institution:writes:paper/year v: torch.Size([1339]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8112] [Rank: 4] key: paper:cites:paper/count v: torch.Size([2628]) [d578aa764bcd INFO 2022-11-07 10:40:00,664 PID:8112] [Rank: 4] key: paper:rev_writes:author/year v: torch.Size([1652]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8127] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([1535]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8127] [Rank: 2] key: author:writes:paper/year v: torch.Size([1535]) [d578aa764bcd INFO 2022-11-07 10:40:00,663 PID:8127] [Rank: 2] key: institution:writes:paper/year v: torch.Size([1511]) [d578aa764bcd INFO 2022-11-07 10:40:00,664 PID:8127] [Rank: 2] key: paper:cites:paper/count v: torch.Size([2966]) [d578aa764bcd INFO 2022-11-07 10:40:00,664 PID:8127] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([1647]) [d578aa764bcd INFO 2022-11-07 10:40:00,682 PID:8133] [Rank: 7] key: author:writes:paper/orig_ids v: torch.Size([1626]) [d578aa764bcd INFO 2022-11-07 10:40:00,682 PID:8133] [Rank: 7] key: author:writes:paper/year v: torch.Size([1626]) [d578aa764bcd INFO 2022-11-07 10:40:00,683 PID:8133] [Rank: 7] key: institution:writes:paper/year v: torch.Size([1605]) [d578aa764bcd INFO 2022-11-07 10:40:00,683 PID:8133] [Rank: 7] key: paper:cites:paper/count v: torch.Size([3212]) [d578aa764bcd INFO 2022-11-07 10:40:00,683 PID:8133] [Rank: 7] key: paper:rev_writes:author/year v: torch.Size([1221]) [d578aa764bcd INFO 2022-11-07 10:40:00,688 PID:8124] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([1409]) [d578aa764bcd INFO 2022-11-07 10:40:00,689 PID:8124] [Rank: 0] key: author:writes:paper/year v: torch.Size([1409]) [d578aa764bcd INFO 2022-11-07 10:40:00,689 PID:8124] [Rank: 0] key: institution:writes:paper/year v: torch.Size([1417]) [d578aa764bcd INFO 2022-11-07 10:40:00,689 PID:8124] [Rank: 0] key: paper:cites:paper/count v: torch.Size([2905]) [d578aa764bcd INFO 2022-11-07 10:40:00,689 PID:8124] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([1514]) [d578aa764bcd INFO 2022-11-07 10:40:00,704 PID:8120] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([1722]) [d578aa764bcd INFO 2022-11-07 10:40:00,704 PID:8120] [Rank: 1] key: author:writes:paper/year v: torch.Size([1722]) [d578aa764bcd INFO 2022-11-07 10:40:00,704 PID:8120] [Rank: 1] key: institution:writes:paper/year v: torch.Size([1736]) [d578aa764bcd INFO 2022-11-07 10:40:00,704 PID:8120] [Rank: 1] key: paper:cites:paper/count v: torch.Size([3417]) [d578aa764bcd INFO 2022-11-07 10:40:00,704 PID:8120] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([1435]) PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g0] [d578aa764bcd INFO 2022-11-07 10:40:00,744 PID:8138] [Rank: 6] key: author:writes:paper/orig_ids v: torch.Size([1647]) [d578aa764bcd INFO 2022-11-07 10:40:00,745 PID:8138] [Rank: 6] key: author:writes:paper/year v: torch.Size([1647]) [d578aa764bcd INFO 2022-11-07 10:40:00,745 PID:8138] [Rank: 6] key: institution:writes:paper/year v: torch.Size([1631]) [d578aa764bcd INFO 2022-11-07 10:40:00,745 PID:8138] [Rank: 6] key: paper:cites:paper/count v: torch.Size([3287]) [d578aa764bcd INFO 2022-11-07 10:40:00,745 PID:8138] [Rank: 6] key: paper:rev_writes:author/year v: torch.Size([1507]) [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8112] [Rank: 4] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8124] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8135] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8133] [Rank: 7] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8127] [Rank: 2] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8129] [Rank: 5] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8120] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:01,173 PID:8138] [Rank: 6] Done resolving orig_node_id for local node_ids... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:40:01,412 PID:8133] There are 7949 edges in partition 7 [d578aa764bcd INFO 2022-11-07 10:40:01,478 PID:8120] There are 8591 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:40:01,479 PID:8138] There are 8371 edges in partition 6 [d578aa764bcd INFO 2022-11-07 10:40:01,481 PID:8112] There are 7192 edges in partition 4 [d578aa764bcd INFO 2022-11-07 10:40:01,483 PID:8127] There are 7957 edges in partition 2 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] [d578aa764bcd INFO 2022-11-07 10:40:01,535 PID:8124] There are 7544 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:40:01,540 PID:8129] There are 7526 edges in partition 5 [d578aa764bcd INFO 2022-11-07 10:40:01,581 PID:8135] There are 7270 edges in partition 3 PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] [d578aa764bcd INFO 2022-11-07 10:40:01,756 PID:8120] [Rank: 1] Time to create dgl objects: 0:00:00.582673 [d578aa764bcd INFO 2022-11-07 10:40:01,756 PID:8129] [Rank: 5] Time to create dgl objects: 0:00:00.582830 [d578aa764bcd INFO 2022-11-07 10:40:01,756 PID:8127] [Rank: 2] Time to create dgl objects: 0:00:00.582783 [d578aa764bcd INFO 2022-11-07 10:40:01,756 PID:8135] [Rank: 3] Time to create dgl objects: 0:00:00.583081 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8133] [Rank: 7] Time to create dgl objects: 0:00:00.582993 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8138] [Rank: 6] Time to create dgl objects: 0:00:00.582820 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8129] [Rank: 5] Total execution time of the program: 0:00:31.087862 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8112] [Rank: 4] Time to create dgl objects: 0:00:00.583326 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8120] [Rank: 1] Total execution time of the program: 0:00:31.088508 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8133] [Rank: 7] Total execution time of the program: 0:00:31.088257 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8127] [Rank: 2] Total execution time of the program: 0:00:31.088254 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8135] [Rank: 3] Total execution time of the program: 0:00:31.088336 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8138] [Rank: 6] Total execution time of the program: 0:00:31.088235 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8129] [Rank: 5] Done with Distributed data processing pipeline processing. [Rank: 5 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8112] [Rank: 4] Total execution time of the program: 0:00:31.088567 [d578aa764bcd INFO 2022-11-07 10:40:01,757 PID:8133] [Rank: 7] Done with Distributed data processing pipeline processing. [Rank: 7 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8120] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8138] [Rank: 6] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8127] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 6 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8135] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8112] [Rank: 4] Done with Distributed data processing pipeline processing. [Rank: 4 Edge data is already sorted !!! [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8124] [Rank: 0] Time to create dgl objects: 0:00:00.584478 [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8124] [Rank: 0] Total execution time of the program: 0:00:31.090724 [d578aa764bcd INFO 2022-11-07 10:40:01,758 PID:8124] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] PASSED [ 62%] tests/tools/test_dist_part.py::test_pipeline_formats[None] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g0] Done with creating chunked graph PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] INFO:root:Changing directory to /tmp/tmpxlwipehm/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpxlwipehm/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpxlwipehm/parted_data --input-dir /tmp/tmpxlwipehm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpxlwipehm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpxlwipehm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpxlwipehm/parted_data --input-dir /tmp/tmpxlwipehm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpxlwipehm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpxlwipehm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpxlwipehm/parted_data --input-dir /tmp/tmpxlwipehm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpxlwipehm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpxlwipehm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpxlwipehm/parted_data --input-dir /tmp/tmpxlwipehm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpxlwipehm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpxlwipehm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpxlwipehm/parted_data --input-dir /tmp/tmpxlwipehm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpxlwipehm/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-shp4-g1] PASSED [ 27%] tests/go/test_pipeline.py::test_nodepred_model[gat] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:40:06,504 PID:9368] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:40:06,515 PID:9370] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:40:06,526 PID:9371] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:40:06,526 PID:9369] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:40:06,526 PID:9368] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9368] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:06,526 PID:9371] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:06,526 PID:9369] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9370] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9368] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9371] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9371] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:06,527 PID:9370] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:06,528 PID:9370] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:06,528 PID:9369] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:06,528 PID:9369] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:06,530 PID:9368] [Rank: 0] Reading file: /tmp/tmpxlwipehm/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:06,530 PID:9371] [Rank: 2] Reading file: /tmp/tmpxlwipehm/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:06,530 PID:9370] [Rank: 1] Reading file: /tmp/tmpxlwipehm/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:06,531 PID:9369] [Rank: 3] Reading file: /tmp/tmpxlwipehm/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:06,547 PID:9368] [Rank: 0] Reading file: /tmp/tmpxlwipehm/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:06,550 PID:9371] [Rank: 2] Reading file: /tmp/tmpxlwipehm/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:06,550 PID:9370] [Rank: 1] Reading file: /tmp/tmpxlwipehm/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:06,550 PID:9369] [Rank: 3] Reading file: /tmp/tmpxlwipehm/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:06,560 PID:9368] [Rank: 0] Reading file: /tmp/tmpxlwipehm/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:06,564 PID:9371] [Rank: 2] Reading file: /tmp/tmpxlwipehm/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:06,565 PID:9370] [Rank: 1] Reading file: /tmp/tmpxlwipehm/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:06,569 PID:9369] [Rank: 3] Reading file: /tmp/tmpxlwipehm/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:06,572 PID:9368] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:06,572 PID:9368] Loading node feature[feat] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,577 PID:9371] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:06,577 PID:9371] Loading node feature[feat] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,578 PID:9370] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:06,578 PID:9370] Loading node feature[feat] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,583 PID:9369] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:06,583 PID:9369] Loading node feature[feat] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,586 PID:9368] Loading node feature[label] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,588 PID:9368] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,589 PID:9368] Loading node feature[year] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9368] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9368] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9368] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9368] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9368] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,591 PID:9371] Loading node feature[label] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,592 PID:9368] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,592 PID:9370] Loading node feature[label] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,593 PID:9371] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,593 PID:9368] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,594 PID:9370] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,594 PID:9368] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,594 PID:9371] Loading node feature[year] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,594 PID:9369] Loading node feature[label] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,595 PID:9369] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,595 PID:9370] Loading node feature[year] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,595 PID:9368] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:06,595 PID:9369] Loading node feature[year] of ntype[paper] from /tmp/tmpxlwipehm/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,595 PID:9371] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9371] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9371] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9368] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9368] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9368] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9371] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9371] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9369] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9369] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9369] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9369] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9369] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9370] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9370] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9370] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9368] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:06,596 PID:9368] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9368] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9370] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9370] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9369] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,597 PID:9371] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,598 PID:9369] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,598 PID:9369] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,598 PID:9370] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,598 PID:9371] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,599 PID:9369] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:06,599 PID:9370] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9371] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,600 PID:9369] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:40:06,601 PID:9370] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,601 PID:9371] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:06,602 PID:9370] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:06,602 PID:9371] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9371] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9371] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9371] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9371] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9371] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:40:06,603 PID:9370] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,604 PID:9370] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,604 PID:9370] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,604 PID:9370] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:06,604 PID:9370] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:06,605 PID:9370] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:40:06,610 PID:9368] Loading edges of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:06,621 PID:9371] Loading edges of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:06,622 PID:9370] Loading edges of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:06,623 PID:9368] Loading edges of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:06,629 PID:9369] Loading edges of etype[author:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:06,633 PID:9368] Loading edges of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:06,635 PID:9371] Loading edges of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:06,635 PID:9370] Loading edges of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:06,639 PID:9369] Loading edges of etype[institution:writes:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:06,643 PID:9368] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:40:06,646 PID:9370] Loading edges of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:06,647 PID:9371] Loading edges of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:06,649 PID:9369] Loading edges of etype[paper:cites:paper] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:06,651 PID:9368] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,652 PID:9368] [Rank: 0] Done reading dataset deom /tmp/tmpxlwipehm/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:06,659 PID:9371] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:40:06,660 PID:9369] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:40:06,659 PID:9370] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpxlwipehm/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:40:06,670 PID:9371] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,670 PID:9371] [Rank: 2] Done reading dataset deom /tmp/tmpxlwipehm/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:06,677 PID:9369] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,677 PID:9369] [Rank: 3] Done reading dataset deom /tmp/tmpxlwipehm/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:06,678 PID:9370] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,678 PID:9370] [Rank: 1] Done reading dataset deom /tmp/tmpxlwipehm/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9370] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9370] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9369] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9368] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9368] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9369] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9371] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:06,890 PID:9371] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:06,891 PID:9370] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:06,891 PID:9371] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:06,891 PID:9368] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:06,891 PID:9369] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:07,183 PID:9368] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:07,183 PID:9371] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:07,183 PID:9369] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:07,183 PID:9370] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:07,492 PID:9370] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:07,492 PID:9371] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:07,492 PID:9368] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:07,492 PID:9369] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:07,776 PID:9370] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:07,776 PID:9371] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:07,777 PID:9368] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:07,777 PID:9369] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9368] [Rank: 0] Total time for node feature exchange: 0:00:01.155345 [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9369] [Rank: 3] Total time for node feature exchange: 0:00:01.155298 [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9370] [Rank: 1] Total time for node feature exchange: 0:00:01.155470 [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9371] [Rank: 2] Total time for node feature exchange: 0:00:01.155444 [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9368] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9369] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9368] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9369] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9370] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:08,046 PID:9371] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:08,047 PID:9371] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:08,047 PID:9370] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:08,751 PID:9371] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:08,751 PID:9368] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:08,751 PID:9370] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:08,751 PID:9369] [Rank: 3] processing node feature: author:writes:paper/year PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] [d578aa764bcd INFO 2022-11-07 10:40:09,343 PID:9368] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:09,343 PID:9370] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:09,343 PID:9371] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:09,343 PID:9369] [Rank: 3] processing node feature: institution:writes:paper/year PASSED [ 28%] tests/go/test_pipeline.py::test_nodepred_model[sage] [d578aa764bcd INFO 2022-11-07 10:40:09,949 PID:9369] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:09,949 PID:9371] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:09,949 PID:9370] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:09,949 PID:9368] [Rank: 0] processing node feature: paper:cites:paper/count PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] [d578aa764bcd INFO 2022-11-07 10:40:10,648 PID:9368] [Rank: 0] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:10,648 PID:9369] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:10,648 PID:9371] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:10,648 PID:9370] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9370] [Rank: 1] Total time for node feature exchange: 0:00:03.306380 [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9370] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9371] [Rank: 2] Total time for node feature exchange: 0:00:03.306416 [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9371] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9368] [Rank: 0] Total time for node feature exchange: 0:00:03.306475 [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9368] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9369] [Rank: 3] Total time for node feature exchange: 0:00:03.306460 [d578aa764bcd INFO 2022-11-07 10:40:11,353 PID:9369] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:11,897 PID:9368] [Rank: 0] Time to send/rcv edge data: 0:00:00.006088 [d578aa764bcd INFO 2022-11-07 10:40:11,897 PID:9369] [Rank: 3] Time to send/rcv edge data: 0:00:00.006346 [d578aa764bcd INFO 2022-11-07 10:40:11,897 PID:9370] [Rank: 1] Time to send/rcv edge data: 0:00:00.006051 [d578aa764bcd INFO 2022-11-07 10:40:11,897 PID:9371] [Rank: 2] Time to send/rcv edge data: 0:00:00.006101 [d578aa764bcd INFO 2022-11-07 10:40:11,933 PID:9368] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:11,945 PID:9370] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:11,945 PID:9371] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:11,947 PID:9369] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:11,956 PID:9368] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:11,971 PID:9371] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:11,972 PID:9370] [Rank: 1] Sorted node_data by node_type PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g0] [d578aa764bcd INFO 2022-11-07 10:40:11,979 PID:9369] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:11,981 PID:9371] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:11,982 PID:9370] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:11,982 PID:9368] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:11,982 PID:9369] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:12,013 PID:9369] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:12,013 PID:9368] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:12,013 PID:9371] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:12,017 PID:9370] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:12,067 PID:9368] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([2900]) [d578aa764bcd INFO 2022-11-07 10:40:12,067 PID:9368] [Rank: 0] key: author:writes:paper/year v: torch.Size([2900]) [d578aa764bcd INFO 2022-11-07 10:40:12,067 PID:9368] [Rank: 0] key: institution:writes:paper/year v: torch.Size([3047]) [d578aa764bcd INFO 2022-11-07 10:40:12,067 PID:9368] [Rank: 0] key: paper:cites:paper/count v: torch.Size([6010]) [d578aa764bcd INFO 2022-11-07 10:40:12,067 PID:9368] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([2992]) [d578aa764bcd INFO 2022-11-07 10:40:12,080 PID:9369] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([2963]) [d578aa764bcd INFO 2022-11-07 10:40:12,080 PID:9369] [Rank: 3] key: author:writes:paper/year v: torch.Size([2963]) [d578aa764bcd INFO 2022-11-07 10:40:12,080 PID:9369] [Rank: 3] key: institution:writes:paper/year v: torch.Size([2957]) [d578aa764bcd INFO 2022-11-07 10:40:12,080 PID:9369] [Rank: 3] key: paper:cites:paper/count v: torch.Size([5892]) [d578aa764bcd INFO 2022-11-07 10:40:12,080 PID:9369] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([3112]) [d578aa764bcd INFO 2022-11-07 10:40:12,154 PID:9370] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([3018]) [d578aa764bcd INFO 2022-11-07 10:40:12,154 PID:9370] [Rank: 1] key: author:writes:paper/year v: torch.Size([3018]) [d578aa764bcd INFO 2022-11-07 10:40:12,154 PID:9370] [Rank: 1] key: institution:writes:paper/year v: torch.Size([2879]) [d578aa764bcd INFO 2022-11-07 10:40:12,154 PID:9370] [Rank: 1] key: paper:cites:paper/count v: torch.Size([5861]) [d578aa764bcd INFO 2022-11-07 10:40:12,154 PID:9370] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3120]) [d578aa764bcd INFO 2022-11-07 10:40:12,158 PID:9371] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3119]) [d578aa764bcd INFO 2022-11-07 10:40:12,158 PID:9371] [Rank: 2] key: author:writes:paper/year v: torch.Size([3119]) [d578aa764bcd INFO 2022-11-07 10:40:12,158 PID:9371] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3117]) [d578aa764bcd INFO 2022-11-07 10:40:12,158 PID:9371] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6237]) [d578aa764bcd INFO 2022-11-07 10:40:12,158 PID:9371] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2776]) PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:40:12,307 PID:9370] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:12,308 PID:9369] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:12,308 PID:9368] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:12,308 PID:9371] [Rank: 2] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:12,535 PID:9368] There are 15580 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:40:12,674 PID:9369] There are 15495 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:40:12,697 PID:9371] There are 15823 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:40:12,698 PID:9370] There are 15502 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9370] [Rank: 1] Time to create dgl objects: 0:00:00.491081 [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9369] [Rank: 3] Time to create dgl objects: 0:00:00.490949 [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9370] [Rank: 1] Total execution time of the program: 0:00:06.271291 [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9369] [Rank: 3] Total execution time of the program: 0:00:06.271035 [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9370] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:12,799 PID:9371] [Rank: 2] Time to create dgl objects: 0:00:00.490870 [d578aa764bcd INFO 2022-11-07 10:40:12,800 PID:9369] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:12,800 PID:9371] [Rank: 2] Total execution time of the program: 0:00:06.272430 [d578aa764bcd INFO 2022-11-07 10:40:12,800 PID:9371] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:12,801 PID:9368] [Rank: 0] Time to create dgl objects: 0:00:00.492467 [d578aa764bcd INFO 2022-11-07 10:40:12,801 PID:9368] [Rank: 0] Total execution time of the program: 0:00:06.274322 [d578aa764bcd INFO 2022-11-07 10:40:12,802 PID:9368] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g1] PASSED [ 64%] tests/tools/test_dist_part.py::test_pipeline_formats[csc] Done with creating chunked graph 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] INFO:root:Changing directory to /tmp/tmpg08ad7_n/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpg08ad7_n/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpg08ad7_n/parted_data --input-dir /tmp/tmpg08ad7_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg08ad7_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc " (export DGL_IP_CONFIG=/tmp/tmpg08ad7_n/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpg08ad7_n/parted_data --input-dir /tmp/tmpg08ad7_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg08ad7_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpg08ad7_n/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpg08ad7_n/parted_data --input-dir /tmp/tmpg08ad7_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg08ad7_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpg08ad7_n/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpg08ad7_n/parted_data --input-dir /tmp/tmpg08ad7_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg08ad7_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpg08ad7_n/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpg08ad7_n/parted_data --input-dir /tmp/tmpg08ad7_n/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg08ad7_n/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) cleanupu process runs PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] PASSED [ 29%] tests/go/test_pipeline.py::test_nodepred_model[sgc] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] 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] [d578aa764bcd INFO 2022-11-07 10:40:17,815 PID:10019] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:40:17,835 PID:10018] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:40:17,835 PID:10211] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:40:17,837 PID:10017] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:40:17,837 PID:10017] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:17,846 PID:10211] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:17,846 PID:10018] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:17,847 PID:10019] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:17,848 PID:10019] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:17,848 PID:10019] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10211] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10211] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10017] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10017] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10018] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:17,849 PID:10018] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:17,851 PID:10019] [Rank: 0] Reading file: /tmp/tmpg08ad7_n/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:17,851 PID:10017] [Rank: 3] Reading file: /tmp/tmpg08ad7_n/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:17,852 PID:10211] [Rank: 1] Reading file: /tmp/tmpg08ad7_n/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:17,852 PID:10018] [Rank: 2] Reading file: /tmp/tmpg08ad7_n/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:17,868 PID:10017] [Rank: 3] Reading file: /tmp/tmpg08ad7_n/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:17,870 PID:10018] [Rank: 2] Reading file: /tmp/tmpg08ad7_n/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:17,870 PID:10211] [Rank: 1] Reading file: /tmp/tmpg08ad7_n/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:17,875 PID:10019] [Rank: 0] Reading file: /tmp/tmpg08ad7_n/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:17,885 PID:10211] [Rank: 1] Reading file: /tmp/tmpg08ad7_n/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:17,894 PID:10019] [Rank: 0] Reading file: /tmp/tmpg08ad7_n/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:17,903 PID:10211] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:17,903 PID:10211] Loading node feature[feat] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,904 PID:10019] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:17,905 PID:10019] Loading node feature[feat] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,904 PID:10017] [Rank: 3] Reading file: /tmp/tmpg08ad7_n/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:17,908 PID:10018] [Rank: 2] Reading file: /tmp/tmpg08ad7_n/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:17,913 PID:10019] Loading node feature[label] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,913 PID:10019] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,914 PID:10019] Loading node feature[year] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,915 PID:10019] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:17,915 PID:10019] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,915 PID:10019] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,915 PID:10019] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,915 PID:10019] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,916 PID:10019] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,917 PID:10019] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,917 PID:10211] Loading node feature[label] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,917 PID:10019] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,918 PID:10019] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:17,918 PID:10211] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,919 PID:10019] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,919 PID:10019] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,919 PID:10019] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,919 PID:10019] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:17,919 PID:10019] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,920 PID:10019] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:40:17,920 PID:10211] Loading node feature[year] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,921 PID:10211] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:17,921 PID:10211] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,921 PID:10211] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,922 PID:10211] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,922 PID:10211] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,923 PID:10211] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,924 PID:10211] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,925 PID:10211] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,926 PID:10017] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:17,926 PID:10017] Loading node feature[feat] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,927 PID:10211] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:17,928 PID:10211] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,928 PID:10211] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,929 PID:10211] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,929 PID:10211] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:17,929 PID:10211] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,929 PID:10211] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:40:17,930 PID:10019] Loading edges of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:17,932 PID:10017] Loading node feature[label] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,933 PID:10017] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,934 PID:10017] Loading node feature[year] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,934 PID:10017] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:17,934 PID:10017] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,934 PID:10017] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,934 PID:10017] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,935 PID:10017] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,935 PID:10017] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,936 PID:10017] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,936 PID:10017] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,937 PID:10017] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,938 PID:10017] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:40:17,943 PID:10019] Loading edges of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:17,948 PID:10211] Loading edges of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:17,950 PID:10018] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:17,951 PID:10018] Loading node feature[feat] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,951 PID:10017] Loading edges of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:17,955 PID:10019] Loading edges of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:17,963 PID:10017] Loading edges of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:17,966 PID:10211] Loading edges of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:17,966 PID:10018] Loading node feature[label] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,967 PID:10019] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:40:17,967 PID:10018] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,969 PID:10018] Loading node feature[year] of ntype[paper] from /tmp/tmpg08ad7_n/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,970 PID:10018] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:17,971 PID:10018] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,971 PID:10018] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,971 PID:10018] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:17,971 PID:10018] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,972 PID:10018] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,974 PID:10018] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,975 PID:10017] Loading edges of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:17,975 PID:10018] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,976 PID:10018] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:17,978 PID:10018] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,978 PID:10018] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,978 PID:10018] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,978 PID:10018] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:17,978 PID:10018] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:17,979 PID:10018] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:40:17,982 PID:10211] Loading edges of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:17,984 PID:10019] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:17,985 PID:10019] [Rank: 0] Done reading dataset deom /tmp/tmpg08ad7_n/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:17,987 PID:10017] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:40:17,993 PID:10018] Loading edges of etype[author:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:17,997 PID:10211] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:40:18,006 PID:10017] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,006 PID:10017] [Rank: 3] Done reading dataset deom /tmp/tmpg08ad7_n/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:18,007 PID:10018] Loading edges of etype[institution:writes:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:18,008 PID:10211] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,008 PID:10211] [Rank: 1] Done reading dataset deom /tmp/tmpg08ad7_n/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:18,018 PID:10018] Loading edges of etype[paper:cites:paper] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:18,028 PID:10018] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg08ad7_n/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:40:18,035 PID:10018] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,035 PID:10018] [Rank: 2] Done reading dataset deom /tmp/tmpg08ad7_n/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10018] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10018] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10211] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10211] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10019] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10017] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10019] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:18,219 PID:10017] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:18,220 PID:10211] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:18,220 PID:10018] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:18,220 PID:10019] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:18,220 PID:10017] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:18,500 PID:10018] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:18,500 PID:10211] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:18,500 PID:10017] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:18,500 PID:10019] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:18,776 PID:10211] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:18,776 PID:10018] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:18,776 PID:10017] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:18,776 PID:10019] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:18,993 PID:10019] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:18,993 PID:10211] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:18,993 PID:10017] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:18,993 PID:10018] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10018] [Rank: 2] Total time for node feature exchange: 0:00:01.015992 [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10017] [Rank: 3] Total time for node feature exchange: 0:00:01.015478 [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10211] [Rank: 1] Total time for node feature exchange: 0:00:01.015991 [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10019] [Rank: 0] Total time for node feature exchange: 0:00:01.015576 [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10017] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10018] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10211] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10017] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10018] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10211] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10019] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:19,236 PID:10019] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:19,922 PID:10211] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:19,922 PID:10018] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:19,923 PID:10017] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:19,923 PID:10019] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:20,598 PID:10211] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:20,598 PID:10018] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:20,598 PID:10017] [Rank: 3] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:20,598 PID:10019] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:21,334 PID:10019] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:21,334 PID:10018] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:21,334 PID:10017] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:21,334 PID:10211] [Rank: 1] processing node feature: paper:cites:paper/count PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:40:22,032 PID:10018] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:22,032 PID:10017] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:22,033 PID:10211] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:22,039 PID:10019] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 30%] tests/go/test_pipeline.py::test_nodepred_model[gin] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10211] [Rank: 1] Total time for node feature exchange: 0:00:03.512725 [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10211] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10018] [Rank: 2] Total time for node feature exchange: 0:00:03.513028 [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10018] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10017] [Rank: 3] Total time for node feature exchange: 0:00:03.513163 [d578aa764bcd INFO 2022-11-07 10:40:22,749 PID:10017] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:22,750 PID:10019] [Rank: 0] Total time for node feature exchange: 0:00:03.513352 [d578aa764bcd INFO 2022-11-07 10:40:22,770 PID:10019] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:23,288 PID:10017] [Rank: 3] Time to send/rcv edge data: 0:00:00.013999 [d578aa764bcd INFO 2022-11-07 10:40:23,289 PID:10019] [Rank: 0] Time to send/rcv edge data: 0:00:00.014518 [d578aa764bcd INFO 2022-11-07 10:40:23,288 PID:10018] [Rank: 2] Time to send/rcv edge data: 0:00:00.013919 [d578aa764bcd INFO 2022-11-07 10:40:23,289 PID:10211] [Rank: 1] Time to send/rcv edge data: 0:00:00.013307 [d578aa764bcd INFO 2022-11-07 10:40:23,329 PID:10019] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:23,347 PID:10017] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:23,347 PID:10018] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:23,356 PID:10019] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:23,366 PID:10211] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:23,387 PID:10017] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:23,388 PID:10018] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:23,399 PID:10211] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:23,401 PID:10017] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:23,402 PID:10211] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:23,402 PID:10018] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:23,402 PID:10019] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:23,459 PID:10018] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:23,460 PID:10017] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:23,460 PID:10019] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:23,460 PID:10211] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:23,521 PID:10019] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([2763]) [d578aa764bcd INFO 2022-11-07 10:40:23,521 PID:10019] [Rank: 0] key: author:writes:paper/year v: torch.Size([2763]) [d578aa764bcd INFO 2022-11-07 10:40:23,521 PID:10019] [Rank: 0] key: institution:writes:paper/year v: torch.Size([2844]) [d578aa764bcd INFO 2022-11-07 10:40:23,521 PID:10019] [Rank: 0] key: paper:cites:paper/count v: torch.Size([5576]) [d578aa764bcd INFO 2022-11-07 10:40:23,521 PID:10019] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3056]) [d578aa764bcd INFO 2022-11-07 10:40:23,539 PID:10211] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([2891]) [d578aa764bcd INFO 2022-11-07 10:40:23,539 PID:10211] [Rank: 1] key: author:writes:paper/year v: torch.Size([2891]) [d578aa764bcd INFO 2022-11-07 10:40:23,539 PID:10211] [Rank: 1] key: institution:writes:paper/year v: torch.Size([2924]) [d578aa764bcd INFO 2022-11-07 10:40:23,539 PID:10211] [Rank: 1] key: paper:cites:paper/count v: torch.Size([5635]) [d578aa764bcd INFO 2022-11-07 10:40:23,539 PID:10211] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3338]) [d578aa764bcd INFO 2022-11-07 10:40:23,584 PID:10018] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3162]) [d578aa764bcd INFO 2022-11-07 10:40:23,584 PID:10018] [Rank: 2] key: author:writes:paper/year v: torch.Size([3162]) [d578aa764bcd INFO 2022-11-07 10:40:23,584 PID:10018] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3144]) [d578aa764bcd INFO 2022-11-07 10:40:23,584 PID:10018] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6350]) [d578aa764bcd INFO 2022-11-07 10:40:23,584 PID:10018] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2705]) [d578aa764bcd INFO 2022-11-07 10:40:23,596 PID:10017] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([3184]) [d578aa764bcd INFO 2022-11-07 10:40:23,596 PID:10017] [Rank: 3] key: author:writes:paper/year v: torch.Size([3184]) [d578aa764bcd INFO 2022-11-07 10:40:23,596 PID:10017] [Rank: 3] key: institution:writes:paper/year v: torch.Size([3088]) [d578aa764bcd INFO 2022-11-07 10:40:23,596 PID:10017] [Rank: 3] key: paper:cites:paper/count v: torch.Size([6439]) [d578aa764bcd INFO 2022-11-07 10:40:23,596 PID:10017] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([2901]) [d578aa764bcd INFO 2022-11-07 10:40:23,791 PID:10211] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:23,791 PID:10017] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:23,791 PID:10019] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:23,792 PID:10018] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:40:24,126 PID:10211] There are 15362 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:40:24,141 PID:10017] There are 16250 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:40:24,183 PID:10019] There are 14840 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:40:24,266 PID:10018] There are 15948 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:40:24,442 PID:10018] [Rank: 2] Time to create dgl objects: 0:00:00.649674 [d578aa764bcd INFO 2022-11-07 10:40:24,442 PID:10018] [Rank: 2] Total execution time of the program: 0:00:06.593004 [d578aa764bcd INFO 2022-11-07 10:40:24,442 PID:10018] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:24,442 PID:10211] [Rank: 1] Time to create dgl objects: 0:00:00.651250 [d578aa764bcd INFO 2022-11-07 10:40:24,442 PID:10017] [Rank: 3] Time to create dgl objects: 0:00:00.651156 [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10017] [Rank: 3] Total execution time of the program: 0:00:06.593718 [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10211] [Rank: 1] Total execution time of the program: 0:00:06.593879 [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10019] [Rank: 0] Time to create dgl objects: 0:00:00.651567 [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10019] [Rank: 0] Total execution time of the program: 0:00:06.595371 [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10017] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:24,443 PID:10211] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:24,444 PID:10019] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] PASSED [ 67%] tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc] Done with creating chunked graph PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] INFO:root:Changing directory to /tmp/tmp87tqy0of/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp87tqy0of/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp87tqy0of/parted_data --input-dir /tmp/tmp87tqy0of/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp87tqy0of/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc " (export DGL_IP_CONFIG=/tmp/tmp87tqy0of/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp87tqy0of/parted_data --input-dir /tmp/tmp87tqy0of/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp87tqy0of/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmp87tqy0of/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp87tqy0of/parted_data --input-dir /tmp/tmp87tqy0of/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp87tqy0of/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmp87tqy0of/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp87tqy0of/parted_data --input-dir /tmp/tmp87tqy0of/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp87tqy0of/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmp87tqy0of/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp87tqy0of/parted_data --input-dir /tmp/tmp87tqy0of/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp87tqy0of/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) cleanupu process runs PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] PASSED [ 32%] tests/go/test_pipeline.py::test_nodepred_ns_data[cora] [d578aa764bcd INFO 2022-11-07 10:40:28,602 PID:10670] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:40:28,609 PID:10672] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:40:28,618 PID:10675] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:40:28,618 PID:10666] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:40:28,619 PID:10666] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:28,619 PID:10675] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:28,620 PID:10672] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:28,624 PID:10670] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:28,624 PID:10670] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:28,624 PID:10670] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:28,625 PID:10675] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:28,625 PID:10675] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:28,625 PID:10672] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:28,626 PID:10672] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:28,625 PID:10666] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:28,626 PID:10666] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:28,626 PID:10675] [Rank: 2] Reading file: /tmp/tmp87tqy0of/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:28,627 PID:10670] [Rank: 0] Reading file: /tmp/tmp87tqy0of/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:28,628 PID:10666] [Rank: 3] Reading file: /tmp/tmp87tqy0of/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:28,628 PID:10672] [Rank: 1] Reading file: /tmp/tmp87tqy0of/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:28,636 PID:10675] [Rank: 2] Reading file: /tmp/tmp87tqy0of/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:28,646 PID:10675] [Rank: 2] Reading file: /tmp/tmp87tqy0of/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:28,646 PID:10666] [Rank: 3] Reading file: /tmp/tmp87tqy0of/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:28,646 PID:10670] [Rank: 0] Reading file: /tmp/tmp87tqy0of/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:28,648 PID:10672] [Rank: 1] Reading file: /tmp/tmp87tqy0of/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:28,661 PID:10670] [Rank: 0] Reading file: /tmp/tmp87tqy0of/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:28,662 PID:10675] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:28,662 PID:10675] Loading node feature[feat] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,663 PID:10666] [Rank: 3] Reading file: /tmp/tmp87tqy0of/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:28,663 PID:10672] [Rank: 1] Reading file: /tmp/tmp87tqy0of/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:28,675 PID:10670] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:28,676 PID:10670] Loading node feature[feat] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,676 PID:10675] Loading node feature[label] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,678 PID:10675] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,678 PID:10672] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:28,678 PID:10672] Loading node feature[feat] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,679 PID:10675] Loading node feature[year] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,680 PID:10666] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:28,680 PID:10675] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:28,681 PID:10675] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,681 PID:10675] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,681 PID:10675] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,681 PID:10666] Loading node feature[feat] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,681 PID:10675] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,682 PID:10675] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,684 PID:10675] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,685 PID:10670] Loading node feature[label] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,685 PID:10675] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,686 PID:10670] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,686 PID:10675] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:28,687 PID:10670] Loading node feature[year] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10675] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10675] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10675] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10670] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10670] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10670] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10670] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10675] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10675] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,688 PID:10670] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,689 PID:10670] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,689 PID:10675] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:40:28,689 PID:10672] Loading node feature[label] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,690 PID:10670] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,690 PID:10672] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,691 PID:10670] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,691 PID:10672] Loading node feature[year] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,692 PID:10670] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10672] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10672] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10672] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10672] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10672] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,693 PID:10670] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:40:28,694 PID:10672] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,695 PID:10666] Loading node feature[label] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,695 PID:10672] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,696 PID:10666] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,697 PID:10672] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,698 PID:10666] Loading node feature[year] of ntype[paper] from /tmp/tmp87tqy0of/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,698 PID:10672] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:28,699 PID:10666] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:28,699 PID:10666] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,699 PID:10672] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10672] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10672] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10672] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:28,699 PID:10666] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10666] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10672] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,700 PID:10666] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,701 PID:10672] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:40:28,701 PID:10666] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,702 PID:10666] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,703 PID:10675] Loading edges of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:28,703 PID:10666] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,705 PID:10666] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:28,706 PID:10666] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,706 PID:10666] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,707 PID:10666] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,707 PID:10666] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:28,707 PID:10666] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:28,707 PID:10666] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:40:28,711 PID:10670] Loading edges of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:28,716 PID:10675] Loading edges of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:28,719 PID:10672] Loading edges of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:28,725 PID:10666] Loading edges of etype[author:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:28,729 PID:10675] Loading edges of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:28,730 PID:10670] Loading edges of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:28,738 PID:10672] Loading edges of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:28,741 PID:10666] Loading edges of etype[institution:writes:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:28,746 PID:10675] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:40:28,750 PID:10670] Loading edges of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:28,755 PID:10666] Loading edges of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:28,757 PID:10672] Loading edges of etype[paper:cites:paper] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:28,764 PID:10675] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:28,764 PID:10675] [Rank: 2] Done reading dataset deom /tmp/tmp87tqy0of/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:28,768 PID:10670] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:40:28,771 PID:10666] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:40:28,776 PID:10672] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp87tqy0of/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:40:28,783 PID:10666] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:28,783 PID:10666] [Rank: 3] Done reading dataset deom /tmp/tmp87tqy0of/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:28,787 PID:10670] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:28,787 PID:10670] [Rank: 0] Done reading dataset deom /tmp/tmp87tqy0of/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:28,792 PID:10672] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:28,792 PID:10672] [Rank: 1] Done reading dataset deom /tmp/tmp87tqy0of/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10666] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10666] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10670] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10670] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10672] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10672] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10675] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10675] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10666] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10670] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10672] [Rank: 1] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:29,016 PID:10675] [Rank: 2] processing node feature: paper/feat PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:40:29,361 PID:10672] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:29,361 PID:10666] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:29,361 PID:10675] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:29,361 PID:10670] [Rank: 0] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:29,657 PID:10666] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:29,657 PID:10672] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:29,657 PID:10675] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:29,657 PID:10670] [Rank: 0] processing node feature: paper/orig_ids PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:40:29,968 PID:10666] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:29,968 PID:10670] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:29,968 PID:10672] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:29,973 PID:10675] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10672] [Rank: 1] Total time for node feature exchange: 0:00:01.252539 [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10670] [Rank: 0] Total time for node feature exchange: 0:00:01.252947 [d578aa764bcd INFO 2022-11-07 10:40:30,270 PID:10670] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:30,270 PID:10670] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10672] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10672] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10666] [Rank: 3] Total time for node feature exchange: 0:00:01.252829 [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10666] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:30,270 PID:10666] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10675] [Rank: 2] Total time for node feature exchange: 0:00:01.252671 [d578aa764bcd INFO 2022-11-07 10:40:30,269 PID:10675] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:30,270 PID:10675] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:31,178 PID:10666] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,178 PID:10670] [Rank: 0] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,178 PID:10675] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,185 PID:10672] [Rank: 1] processing node feature: author:writes:paper/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] [d578aa764bcd INFO 2022-11-07 10:40:31,954 PID:10670] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,954 PID:10675] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,954 PID:10672] [Rank: 1] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:31,954 PID:10666] [Rank: 3] processing node feature: institution:writes:paper/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] [d578aa764bcd INFO 2022-11-07 10:40:32,547 PID:10666] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:32,548 PID:10675] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:32,548 PID:10672] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:32,548 PID:10670] [Rank: 0] processing node feature: paper:cites:paper/count PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] [d578aa764bcd INFO 2022-11-07 10:40:33,185 PID:10672] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:33,185 PID:10666] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:33,185 PID:10675] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:33,185 PID:10670] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 33%] tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10666] [Rank: 3] Total time for node feature exchange: 0:00:03.692947 [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10666] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10670] [Rank: 0] Total time for node feature exchange: 0:00:03.692996 [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10670] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10675] [Rank: 2] Total time for node feature exchange: 0:00:03.693211 [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10675] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10672] [Rank: 1] Total time for node feature exchange: 0:00:03.693275 [d578aa764bcd INFO 2022-11-07 10:40:33,963 PID:10672] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:34,485 PID:10666] [Rank: 3] Time to send/rcv edge data: 0:00:00.010613 [d578aa764bcd INFO 2022-11-07 10:40:34,486 PID:10670] [Rank: 0] Time to send/rcv edge data: 0:00:00.010628 [d578aa764bcd INFO 2022-11-07 10:40:34,486 PID:10672] [Rank: 1] Time to send/rcv edge data: 0:00:00.010587 [d578aa764bcd INFO 2022-11-07 10:40:34,486 PID:10675] [Rank: 2] Time to send/rcv edge data: 0:00:00.010720 [d578aa764bcd INFO 2022-11-07 10:40:34,536 PID:10675] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:34,537 PID:10666] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:34,555 PID:10672] [Rank: 1] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:34,556 PID:10670] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:34,572 PID:10675] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:34,572 PID:10666] [Rank: 3] Sorted node_data by node_type PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] [d578aa764bcd INFO 2022-11-07 10:40:34,598 PID:10672] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:34,598 PID:10670] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:34,600 PID:10672] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:34,600 PID:10670] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:34,600 PID:10675] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:34,601 PID:10666] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:34,657 PID:10672] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:34,661 PID:10670] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:34,657 PID:10666] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:34,661 PID:10675] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:34,689 PID:10666] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([2864]) [d578aa764bcd INFO 2022-11-07 10:40:34,690 PID:10666] [Rank: 3] key: author:writes:paper/year v: torch.Size([2864]) [d578aa764bcd INFO 2022-11-07 10:40:34,690 PID:10666] [Rank: 3] key: institution:writes:paper/year v: torch.Size([2891]) [d578aa764bcd INFO 2022-11-07 10:40:34,690 PID:10666] [Rank: 3] key: paper:cites:paper/count v: torch.Size([5873]) [d578aa764bcd INFO 2022-11-07 10:40:34,690 PID:10666] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([2968]) [d578aa764bcd INFO 2022-11-07 10:40:34,719 PID:10670] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([2920]) [d578aa764bcd INFO 2022-11-07 10:40:34,719 PID:10670] [Rank: 0] key: author:writes:paper/year v: torch.Size([2920]) [d578aa764bcd INFO 2022-11-07 10:40:34,719 PID:10670] [Rank: 0] key: institution:writes:paper/year v: torch.Size([2901]) [d578aa764bcd INFO 2022-11-07 10:40:34,719 PID:10670] [Rank: 0] key: paper:cites:paper/count v: torch.Size([5709]) [d578aa764bcd INFO 2022-11-07 10:40:34,719 PID:10670] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([3149]) [d578aa764bcd INFO 2022-11-07 10:40:34,790 PID:10672] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([3135]) [d578aa764bcd INFO 2022-11-07 10:40:34,790 PID:10672] [Rank: 1] key: author:writes:paper/year v: torch.Size([3135]) [d578aa764bcd INFO 2022-11-07 10:40:34,790 PID:10672] [Rank: 1] key: institution:writes:paper/year v: torch.Size([3147]) [d578aa764bcd INFO 2022-11-07 10:40:34,790 PID:10672] [Rank: 1] key: paper:cites:paper/count v: torch.Size([6340]) [d578aa764bcd INFO 2022-11-07 10:40:34,790 PID:10672] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([2923]) [d578aa764bcd INFO 2022-11-07 10:40:34,816 PID:10675] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([3081]) [d578aa764bcd INFO 2022-11-07 10:40:34,816 PID:10675] [Rank: 2] key: author:writes:paper/year v: torch.Size([3081]) [d578aa764bcd INFO 2022-11-07 10:40:34,816 PID:10675] [Rank: 2] key: institution:writes:paper/year v: torch.Size([3061]) [d578aa764bcd INFO 2022-11-07 10:40:34,816 PID:10675] [Rank: 2] key: paper:cites:paper/count v: torch.Size([6078]) [d578aa764bcd INFO 2022-11-07 10:40:34,816 PID:10675] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2960]) [d578aa764bcd INFO 2022-11-07 10:40:35,041 PID:10672] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:35,041 PID:10670] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:35,041 PID:10666] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:35,041 PID:10675] [Rank: 2] Done resolving orig_node_id for local node_ids... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] [d578aa764bcd INFO 2022-11-07 10:40:35,357 PID:10670] There are 15314 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:40:35,361 PID:10672] There are 16115 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:40:35,457 PID:10666] There are 15182 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:40:35,490 PID:10675] There are 15789 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:40:35,521 PID:10675] [Rank: 2] Time to create dgl objects: 0:00:00.479862 [d578aa764bcd INFO 2022-11-07 10:40:35,522 PID:10675] [Rank: 2] Total execution time of the program: 0:00:06.896190 [d578aa764bcd INFO 2022-11-07 10:40:35,522 PID:10675] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:35,522 PID:10672] [Rank: 1] Time to create dgl objects: 0:00:00.480590 [d578aa764bcd INFO 2022-11-07 10:40:35,522 PID:10672] [Rank: 1] Total execution time of the program: 0:00:06.896552 [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:35,523 PID:10672] [Rank: 1] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:40:35,526 PID:10666] [Rank: 3] Time to create dgl objects: 0:00:00.485011 [d578aa764bcd INFO 2022-11-07 10:40:35,527 PID:10666] [Rank: 3] Total execution time of the program: 0:00:06.901074 [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:35,527 PID:10666] [Rank: 3] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:40:35,527 PID:10670] [Rank: 0] Time to create dgl objects: 0:00:00.486224 [d578aa764bcd INFO 2022-11-07 10:40:35,528 PID:10670] [Rank: 0] Total execution time of the program: 0:00:06.903486 [d578aa764bcd INFO 2022-11-07 10:40:35,528 PID:10670] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] PASSED [ 70%] tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc,csr] Done with creating chunked graph PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp0-g1] INFO:root:Changing directory to /tmp/tmpl18tcsle/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4814@3 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-4814@3 PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g1] /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpl18tcsle/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl18tcsle/parted_data --input-dir /tmp/tmpl18tcsle/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl18tcsle/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr " (export DGL_IP_CONFIG=/tmp/tmpl18tcsle/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl18tcsle/parted_data --input-dir /tmp/tmpl18tcsle/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl18tcsle/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmpl18tcsle/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl18tcsle/parted_data --input-dir /tmp/tmpl18tcsle/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl18tcsle/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmpl18tcsle/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl18tcsle/parted_data --input-dir /tmp/tmpl18tcsle/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl18tcsle/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmpl18tcsle/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4814@3/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4814@3/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpl18tcsle/parted_data --input-dir /tmp/tmpl18tcsle/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpl18tcsle/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g0] cleanupu process runs PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g0] [d578aa764bcd INFO 2022-11-07 10:40:39,455 PID:11326] Added key: store_based_barrier_key:1 to store for rank: 0 [d578aa764bcd INFO 2022-11-07 10:40:39,464 PID:11328] Added key: store_based_barrier_key:1 to store for rank: 1 [d578aa764bcd INFO 2022-11-07 10:40:39,475 PID:11319] Added key: store_based_barrier_key:1 to store for rank: 3 [d578aa764bcd INFO 2022-11-07 10:40:39,475 PID:11327] Added key: store_based_barrier_key:1 to store for rank: 2 [d578aa764bcd INFO 2022-11-07 10:40:39,476 PID:11328] Rank 1: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:39,476 PID:11319] Rank 3: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:39,476 PID:11327] Rank 2: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:39,478 PID:11326] Rank 0: Completed store-based barrier for 4 nodes. [d578aa764bcd INFO 2022-11-07 10:40:39,478 PID:11326] [Rank: 0] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:39,478 PID:11326] [Rank: 0] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11319] [Rank: 3] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11319] [Rank: 3] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11328] [Rank: 1] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11328] [Rank: 1] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11327] [Rank: 2] Done with process group initialization... [d578aa764bcd INFO 2022-11-07 10:40:39,479 PID:11327] [Rank: 2] Starting distributed data processing pipeline... [d578aa764bcd INFO 2022-11-07 10:40:39,481 PID:11326] [Rank: 0] Reading file: /tmp/tmpl18tcsle/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:39,482 PID:11319] [Rank: 3] Reading file: /tmp/tmpl18tcsle/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:39,482 PID:11328] [Rank: 1] Reading file: /tmp/tmpl18tcsle/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:39,482 PID:11327] [Rank: 2] Reading file: /tmp/tmpl18tcsle/parted_data/author.txt [d578aa764bcd INFO 2022-11-07 10:40:39,499 PID:11319] [Rank: 3] Reading file: /tmp/tmpl18tcsle/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:39,500 PID:11326] [Rank: 0] Reading file: /tmp/tmpl18tcsle/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:39,501 PID:11327] [Rank: 2] Reading file: /tmp/tmpl18tcsle/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:39,501 PID:11328] [Rank: 1] Reading file: /tmp/tmpl18tcsle/parted_data/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:39,515 PID:11319] [Rank: 3] Reading file: /tmp/tmpl18tcsle/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:39,517 PID:11327] [Rank: 2] Reading file: /tmp/tmpl18tcsle/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:39,519 PID:11328] [Rank: 1] Reading file: /tmp/tmpl18tcsle/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:39,518 PID:11326] [Rank: 0] Reading file: /tmp/tmpl18tcsle/parted_data/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:39,532 PID:11327] [Rank: 2] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:39,533 PID:11327] Loading node feature[feat] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/feat-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,533 PID:11319] [Rank: 3] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:39,534 PID:11319] Loading node feature[feat] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/feat-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,534 PID:11326] [Rank: 0] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:39,535 PID:11326] Loading node feature[feat] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/feat-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,539 PID:11328] [Rank: 1] Initialized metis partitions and node_types map... [d578aa764bcd INFO 2022-11-07 10:40:39,539 PID:11328] Loading node feature[feat] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/feat-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,541 PID:11327] Loading node feature[label] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/label-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,542 PID:11327] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,543 PID:11327] Loading node feature[year] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,543 PID:11326] Loading node feature[label] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/label-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11327] [Rank: 2] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11327] [Rank: 2] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11327] [Rank: 2] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11327] [Rank: 2] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11326] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,544 PID:11327] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,545 PID:11327] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,545 PID:11326] Loading node feature[year] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11319] Loading node feature[label] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/label-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11326] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11326] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11326] [Rank: 0] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11326] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11327] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/institution:writes:paper/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11327] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:cites:paper/count-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,546 PID:11326] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,547 PID:11319] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,547 PID:11326] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,547 PID:11327] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [d578aa764bcd INFO 2022-11-07 10:40:39,547 PID:11319] Loading node feature[year] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11326] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/institution:writes:paper/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] [Rank: 2] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] [Rank: 2] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] [Rank: 2] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] [Rank: 2] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] [Rank: 2] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11326] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:cites:paper/count-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11319] [Rank: 3] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11319] [Rank: 3] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11319] [Rank: 3] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11319] [Rank: 3] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,548 PID:11327] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:affiliated_with:institution2.txt [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11319] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,549 PID:11326] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11319] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11326] [Rank: 0] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11326] [Rank: 0] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11326] [Rank: 0] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11326] [Rank: 0] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11326] [Rank: 0] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,550 PID:11328] Loading node feature[label] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/label-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,551 PID:11326] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:affiliated_with:institution0.txt [d578aa764bcd INFO 2022-11-07 10:40:39,551 PID:11319] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/institution:writes:paper/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,551 PID:11328] Loading node feature[orig_ids] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,551 PID:11319] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:cites:paper/count-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,551 PID:11328] Loading node feature[year] of ntype[paper] from /tmp/tmpl18tcsle/chunked-data/node_data/paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,552 PID:11319] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [d578aa764bcd INFO 2022-11-07 10:40:39,552 PID:11328] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [d578aa764bcd INFO 2022-11-07 10:40:39,552 PID:11328] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,552 PID:11328] [Rank: 1] node feature name: paper/orig_ids, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,552 PID:11328] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [d578aa764bcd INFO 2022-11-07 10:40:39,553 PID:11328] Loading edge feature[orig_ids] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,553 PID:11319] [Rank: 3] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,553 PID:11319] [Rank: 3] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,553 PID:11328] Loading edge feature[year] of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/author:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,553 PID:11319] [Rank: 3] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,554 PID:11319] [Rank: 3] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:39,554 PID:11319] [Rank: 3] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,554 PID:11328] Loading edge feature[year] of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/institution:writes:paper/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,554 PID:11328] Loading edge feature[count] of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:cites:paper/count-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,554 PID:11319] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:affiliated_with:institution3.txt [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] Loading edge feature[year] of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] [Rank: 1] edge feature name: author:writes:paper/orig_ids, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] [Rank: 1] edge feature name: author:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] [Rank: 1] edge feature name: institution:writes:paper/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] [Rank: 1] edge feature name: paper:cites:paper/count, feature data shape: torch.Size([6000]) [d578aa764bcd INFO 2022-11-07 10:40:39,555 PID:11328] [Rank: 1] edge feature name: paper:rev_writes:author/year, feature data shape: torch.Size([3000]) [d578aa764bcd INFO 2022-11-07 10:40:39,556 PID:11328] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:affiliated_with:institution1.txt [d578aa764bcd INFO 2022-11-07 10:40:39,559 PID:11327] Loading edges of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:39,562 PID:11326] Loading edges of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:39,566 PID:11328] Loading edges of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:39,569 PID:11327] Loading edges of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/institution:writes:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:39,571 PID:11319] Loading edges of etype[author:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/author:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:39,574 PID:11326] Loading edges of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/institution:writes:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:39,577 PID:11328] Loading edges of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/institution:writes:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:39,579 PID:11327] Loading edges of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:cites:paper2.txt [d578aa764bcd INFO 2022-11-07 10:40:39,587 PID:11319] Loading edges of etype[institution:writes:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/institution:writes:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:39,587 PID:11328] Loading edges of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:cites:paper1.txt [d578aa764bcd INFO 2022-11-07 10:40:39,589 PID:11327] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:rev_writes:author2.txt [d578aa764bcd INFO 2022-11-07 10:40:39,593 PID:11326] Loading edges of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:cites:paper0.txt [d578aa764bcd INFO 2022-11-07 10:40:39,598 PID:11328] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:rev_writes:author1.txt [d578aa764bcd INFO 2022-11-07 10:40:39,599 PID:11327] [Rank: 2] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,599 PID:11327] [Rank: 2] Done reading dataset deom /tmp/tmpl18tcsle/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:39,599 PID:11319] Loading edges of etype[paper:cites:paper] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:cites:paper3.txt [d578aa764bcd INFO 2022-11-07 10:40:39,607 PID:11326] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:rev_writes:author0.txt [d578aa764bcd INFO 2022-11-07 10:40:39,607 PID:11328] [Rank: 1] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,607 PID:11328] [Rank: 1] Done reading dataset deom /tmp/tmpl18tcsle/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:39,616 PID:11319] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpl18tcsle/chunked-data/edge_index/paper:rev_writes:author3.txt [d578aa764bcd INFO 2022-11-07 10:40:39,618 PID:11326] [Rank: 0] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,618 PID:11326] [Rank: 0] Done reading dataset deom /tmp/tmpl18tcsle/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:39,630 PID:11319] [Rank: 3] Done reading edge_file: 4, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,630 PID:11319] [Rank: 3] Done reading dataset deom /tmp/tmpl18tcsle/chunked-data [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11319] [Rank: 3] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11319] [Rank: 3] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11326] [Rank: 0] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11326] [Rank: 0] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11328] [Rank: 1] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11328] [Rank: 1] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11327] [Rank: 2] Done augmenting edge_data: 6, (15600,) [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11327] [Rank: 2] Done augmenting file input data with auxilary columns [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11319] [Rank: 3] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:39,793 PID:11326] [Rank: 0] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:39,794 PID:11327] [Rank: 2] processing node feature: paper/feat [d578aa764bcd INFO 2022-11-07 10:40:39,794 PID:11328] [Rank: 1] processing node feature: paper/feat PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] [d578aa764bcd INFO 2022-11-07 10:40:40,057 PID:11319] [Rank: 3] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:40,057 PID:11327] [Rank: 2] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:40,057 PID:11328] [Rank: 1] processing node feature: paper/label [d578aa764bcd INFO 2022-11-07 10:40:40,057 PID:11326] [Rank: 0] processing node feature: paper/label PASSED [ 34%] tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] [d578aa764bcd INFO 2022-11-07 10:40:40,333 PID:11326] [Rank: 0] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,333 PID:11328] [Rank: 1] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,333 PID:11327] [Rank: 2] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,339 PID:11319] [Rank: 3] processing node feature: paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,634 PID:11327] [Rank: 2] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:40,634 PID:11328] [Rank: 1] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:40,634 PID:11319] [Rank: 3] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:40,634 PID:11326] [Rank: 0] processing node feature: paper/year [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11328] [Rank: 1] Total time for node feature exchange: 0:00:01.122389 [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11319] [Rank: 3] Total time for node feature exchange: 0:00:01.122814 [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11319] [Rank: 3] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11319] [Rank: 3] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11326] [Rank: 0] Total time for node feature exchange: 0:00:01.122924 [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11327] [Rank: 2] Total time for node feature exchange: 0:00:01.122576 [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11327] [Rank: 2] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11326] [Rank: 0] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11327] [Rank: 2] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11328] [Rank: 1] Done with node features exchange. [d578aa764bcd INFO 2022-11-07 10:40:40,916 PID:11328] [Rank: 1] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:40,917 PID:11326] [Rank: 0] processing node feature: author:writes:paper/orig_ids [d578aa764bcd INFO 2022-11-07 10:40:41,645 PID:11328] [Rank: 1] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:41,645 PID:11319] [Rank: 3] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:41,645 PID:11327] [Rank: 2] processing node feature: author:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:41,645 PID:11326] [Rank: 0] processing node feature: author:writes:paper/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] [d578aa764bcd INFO 2022-11-07 10:40:42,367 PID:11326] [Rank: 0] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:42,367 PID:11327] [Rank: 2] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:42,367 PID:11319] [Rank: 3] processing node feature: institution:writes:paper/year [d578aa764bcd INFO 2022-11-07 10:40:42,367 PID:11328] [Rank: 1] processing node feature: institution:writes:paper/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] [d578aa764bcd INFO 2022-11-07 10:40:43,132 PID:11319] [Rank: 3] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:43,132 PID:11328] [Rank: 1] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:43,132 PID:11327] [Rank: 2] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:43,132 PID:11326] [Rank: 0] processing node feature: paper:cites:paper/count [d578aa764bcd INFO 2022-11-07 10:40:43,893 PID:11327] [Rank: 2] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:43,893 PID:11328] [Rank: 1] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:43,894 PID:11319] [Rank: 3] processing node feature: paper:rev_writes:author/year [d578aa764bcd INFO 2022-11-07 10:40:43,893 PID:11326] [Rank: 0] processing node feature: paper:rev_writes:author/year PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g0] [d578aa764bcd INFO 2022-11-07 10:40:44,606 PID:11327] [Rank: 2] Total time for node feature exchange: 0:00:03.689144 [d578aa764bcd INFO 2022-11-07 10:40:44,606 PID:11327] [Rank: 2] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:44,606 PID:11319] [Rank: 3] Total time for node feature exchange: 0:00:03.689259 [d578aa764bcd INFO 2022-11-07 10:40:44,606 PID:11319] [Rank: 3] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:44,608 PID:11328] [Rank: 1] Total time for node feature exchange: 0:00:03.692016 [d578aa764bcd INFO 2022-11-07 10:40:44,609 PID:11328] [Rank: 1] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:44,613 PID:11326] [Rank: 0] Total time for node feature exchange: 0:00:03.696265 [d578aa764bcd INFO 2022-11-07 10:40:44,613 PID:11326] [Rank: 0] Done with edge features exchange. [d578aa764bcd INFO 2022-11-07 10:40:45,127 PID:11326] [Rank: 0] Time to send/rcv edge data: 0:00:00.009474 [d578aa764bcd INFO 2022-11-07 10:40:45,127 PID:11328] [Rank: 1] Time to send/rcv edge data: 0:00:00.009487 [d578aa764bcd INFO 2022-11-07 10:40:45,127 PID:11319] [Rank: 3] Time to send/rcv edge data: 0:00:00.009618 [d578aa764bcd INFO 2022-11-07 10:40:45,127 PID:11327] [Rank: 2] Time to send/rcv edge data: 0:00:00.009592 [d578aa764bcd INFO 2022-11-07 10:40:45,165 PID:11319] [Rank: 3] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:45,186 PID:11327] [Rank: 2] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:45,192 PID:11319] [Rank: 3] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:45,196 PID:11326] [Rank: 0] Done with data shuffling... [d578aa764bcd INFO 2022-11-07 10:40:45,197 PID:11328] [Rank: 1] Done with data shuffling... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] [d578aa764bcd INFO 2022-11-07 10:40:45,223 PID:11327] [Rank: 2] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:45,235 PID:11326] [Rank: 0] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:45,237 PID:11328] [Rank: 1] Sorted node_data by node_type [d578aa764bcd INFO 2022-11-07 10:40:45,239 PID:11319] [Rank: 3] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:45,240 PID:11328] [Rank: 1] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:45,240 PID:11326] [Rank: 0] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:45,240 PID:11327] [Rank: 2] Done assigning global-ids to nodes... [d578aa764bcd INFO 2022-11-07 10:40:45,305 PID:11327] [Rank: 2] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:45,306 PID:11326] [Rank: 0] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:45,306 PID:11319] [Rank: 3] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:45,305 PID:11328] [Rank: 1] Done assigning global_ids to edges ... [d578aa764bcd INFO 2022-11-07 10:40:45,348 PID:11327] [Rank: 2] key: author:writes:paper/orig_ids v: torch.Size([2707]) [d578aa764bcd INFO 2022-11-07 10:40:45,348 PID:11327] [Rank: 2] key: author:writes:paper/year v: torch.Size([2707]) [d578aa764bcd INFO 2022-11-07 10:40:45,348 PID:11327] [Rank: 2] key: institution:writes:paper/year v: torch.Size([2751]) [d578aa764bcd INFO 2022-11-07 10:40:45,348 PID:11327] [Rank: 2] key: paper:cites:paper/count v: torch.Size([5571]) [d578aa764bcd INFO 2022-11-07 10:40:45,348 PID:11327] [Rank: 2] key: paper:rev_writes:author/year v: torch.Size([2725]) [d578aa764bcd INFO 2022-11-07 10:40:45,353 PID:11326] [Rank: 0] key: author:writes:paper/orig_ids v: torch.Size([2922]) [d578aa764bcd INFO 2022-11-07 10:40:45,353 PID:11326] [Rank: 0] key: author:writes:paper/year v: torch.Size([2922]) [d578aa764bcd INFO 2022-11-07 10:40:45,353 PID:11326] [Rank: 0] key: institution:writes:paper/year v: torch.Size([2811]) [d578aa764bcd INFO 2022-11-07 10:40:45,353 PID:11326] [Rank: 0] key: paper:cites:paper/count v: torch.Size([5811]) [d578aa764bcd INFO 2022-11-07 10:40:45,353 PID:11326] [Rank: 0] key: paper:rev_writes:author/year v: torch.Size([2949]) [d578aa764bcd INFO 2022-11-07 10:40:45,445 PID:11328] [Rank: 1] key: author:writes:paper/orig_ids v: torch.Size([3194]) [d578aa764bcd INFO 2022-11-07 10:40:45,445 PID:11328] [Rank: 1] key: author:writes:paper/year v: torch.Size([3194]) [d578aa764bcd INFO 2022-11-07 10:40:45,445 PID:11328] [Rank: 1] key: institution:writes:paper/year v: torch.Size([3177]) [d578aa764bcd INFO 2022-11-07 10:40:45,445 PID:11328] [Rank: 1] key: paper:cites:paper/count v: torch.Size([6306]) [d578aa764bcd INFO 2022-11-07 10:40:45,445 PID:11328] [Rank: 1] key: paper:rev_writes:author/year v: torch.Size([3152]) [d578aa764bcd INFO 2022-11-07 10:40:45,451 PID:11319] [Rank: 3] key: author:writes:paper/orig_ids v: torch.Size([3177]) [d578aa764bcd INFO 2022-11-07 10:40:45,451 PID:11319] [Rank: 3] key: author:writes:paper/year v: torch.Size([3177]) [d578aa764bcd INFO 2022-11-07 10:40:45,451 PID:11319] [Rank: 3] key: institution:writes:paper/year v: torch.Size([3261]) [d578aa764bcd INFO 2022-11-07 10:40:45,451 PID:11319] [Rank: 3] key: paper:cites:paper/count v: torch.Size([6312]) [d578aa764bcd INFO 2022-11-07 10:40:45,451 PID:11319] [Rank: 3] key: paper:rev_writes:author/year v: torch.Size([3174]) PASSED [ 35%] tests/go/test_pipeline.py::test_nodepred_ns_data[csv] [d578aa764bcd INFO 2022-11-07 10:40:45,620 PID:11326] [Rank: 0] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:45,620 PID:11327] [Rank: 2] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:45,621 PID:11319] [Rank: 3] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:45,621 PID:11328] [Rank: 1] Done resolving orig_node_id for local node_ids... [d578aa764bcd INFO 2022-11-07 10:40:45,876 PID:11319] There are 16540 edges in partition 3 [d578aa764bcd INFO 2022-11-07 10:40:45,950 PID:11327] There are 14373 edges in partition 2 [d578aa764bcd INFO 2022-11-07 10:40:45,996 PID:11326] There are 15118 edges in partition 0 [d578aa764bcd INFO 2022-11-07 10:40:45,996 PID:11328] There are 16369 edges in partition 1 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11327] [Rank: 2] Time to create dgl objects: 0:00:00.607240 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11319] [Rank: 3] Time to create dgl objects: 0:00:00.607171 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11327] [Rank: 2] Total execution time of the program: 0:00:06.748939 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11328] [Rank: 1] Time to create dgl objects: 0:00:00.606960 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11328] [Rank: 1] Total execution time of the program: 0:00:06.749099 [d578aa764bcd INFO 2022-11-07 10:40:46,228 PID:11319] [Rank: 3] Total execution time of the program: 0:00:06.749129 [Rank: 3 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:46,229 PID:11319] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:46,229 PID:11327] [Rank: 2] Done with Distributed data processing pipeline processing. [d578aa764bcd INFO 2022-11-07 10:40:46,229 PID:11326] [Rank: 0] Time to create dgl objects: 0:00:00.608306 [d578aa764bcd INFO 2022-11-07 10:40:46,229 PID:11326] [Rank: 0] Total execution time of the program: 0:00:06.751244 [d578aa764bcd INFO 2022-11-07 10:40:46,230 PID:11326] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [d578aa764bcd INFO 2022-11-07 10:40:46,229 PID:11328] [Rank: 1] Done with Distributed data processing pipeline processing. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g1] 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/tmp64ljs7kz/chunked-data/metadata.json /tmp/tmp64ljs7kz/chunked-data/partitions_dir /tmp/tmp64ljs7kz/chunked-data/parmetis_output.txt PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g1] [d578aa764bcd INFO 2022-11-07 10:40:47,701 PID:11901] Starting to process parmetis output. [d578aa764bcd INFO 2022-11-07 10:40:47,701 PID:11901] /tmp/tmp64ljs7kz/chunked-data/metadata.json [d578aa764bcd INFO 2022-11-07 10:40:47,701 PID:11901] /tmp/tmp64ljs7kz/chunked-data/parmetis_output.txt [d578aa764bcd INFO 2022-11-07 10:40:47,860 PID:11901] Generated /tmp/tmp64ljs7kz/chunked-data/partitions_dir/author.txt [d578aa764bcd INFO 2022-11-07 10:40:47,860 PID:11901] Generated /tmp/tmp64ljs7kz/chunked-data/partitions_dir/institution.txt [d578aa764bcd INFO 2022-11-07 10:40:47,861 PID:11901] Generated /tmp/tmp64ljs7kz/chunked-data/partitions_dir/paper.txt [d578aa764bcd INFO 2022-11-07 10:40:47,861 PID:11901] Done processing parmetis output PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g0] /tmp/tmp64ljs7kz/chunked-data/partitions_dir/author.txt /tmp/tmp64ljs7kz/chunked-data/partitions_dir/paper.txt /tmp/tmp64ljs7kz/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-4814@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-4814@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-4814@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-4814@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-4814@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-4814@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/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] /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) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4814@3/pytest_tools.xml -- ============================ slowest 100 durations ============================= 37.35s call tests/tools/test_dist_part.py::test_pipeline_basics[8-8] 12.93s call tests/tools/test_dist_part.py::test_pipeline_basics[4-8] 11.87s call tests/tools/test_dist_part.py::test_pipeline_basics[4-4] 11.62s call tests/tools/test_dist_part.py::test_pipeline_formats[csc] 11.05s call tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc] 11.05s call tests/tools/test_dist_part.py::test_pipeline_formats[None] 10.68s call tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc,csr] 9.59s call tests/tools/test_dist_part.py::test_pipeline_basics[3-8] 9.27s call tests/tools/test_dist_part.py::test_pipeline_basics[3-4] 9.13s call tests/tools/test_dist_part.py::test_pipeline_basics[3-3] 5.96s call tests/tools/test_dist_part.py::test_pipeline_basics[1-4] 5.96s call tests/tools/test_dist_part.py::test_pipeline_basics[1-3] 5.93s call tests/tools/test_dist_part.py::test_pipeline_basics[1-1] 5.89s call tests/tools/test_dist_part.py::test_pipeline_basics[1-8] 1.74s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-1000-8] 1.36s call tests/tools/test_parmetis.py::test_parmetis_postprocessing 0.43s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-500-4] 0.29s call tests/tools/test_dist_part.py::test_chunk_graph[1] 0.28s call tests/tools/test_dist_part.py::test_chunk_graph[8] 0.05s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] 0.01s call tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[500-4] 0.01s call tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[100-2] (78 durations < 0.005s hidden. Use -vv to show these durations.) ============ 35 passed, 2 skipped, 18 warnings in 163.91s (0:02:43) ============ [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g1] [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 d578aa764bcd17c41367e260a379aebf20d10ecfa07bc90cadab42598228bbc2 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g1] $ docker rm -f d578aa764bcd17c41367e260a379aebf20d10ecfa07bc90cadab42598228bbc2 [Pipeline] // withDockerContainer [Pipeline] } PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g0] [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g1] PASSED [ 37%] tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 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] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] PASSED [ 38%] tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-g1] PASSED [ 39%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g1] PASSED [ 40%] tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g1] PASSED [ 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 [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g1] PASSED [ 41%] tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] PASSED [ 43%] tests/go/test_pipeline.py::test_nodepred_ns_model[gat] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-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 [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] PASSED [ 44%] tests/go/test_pipeline.py::test_nodepred_ns_model[sage] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g0] PASSED [ 45%] tests/go/test_pipeline.py::test_linkpred_data[cora] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g1] 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] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g1] PASSED [ 46%] tests/go/test_pipeline.py::test_linkpred_data[citeseer] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g1] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g0] PASSED [ 40%] 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PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp0-g1] 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] 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] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-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] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g1] 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 [ 43%] 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PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp2-g1] 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-v-shp4-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%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-add-e-e-shp3-g0] PASSED [ 44%] 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PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g1] PASSED [ 50%] tests/go/test_pipeline.py::test_linkpred_data[reddit] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-u-e-shp0-g0] PASSED [ 45%] 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PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[int32-sub-v-v-shp2-g0] PASSED [ 46%] 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Extracting file to /root/jenkins/workspace/dgl_PR-4814@2/GINDataset Node feature dimensionality: 3 Number of graph categories: 2 [Graph(num_nodes=155, num_edges=769, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), tensor([0, 1, 0, 1, 0])] Number of nodes for each graph element in the batch: tensor([25, 41, 52, 10, 27]) Number of edges for each graph element in the batch: tensor([109, 225, 268, 44, 123]) The original graphs in the minibatch: [Graph(num_nodes=25, num_edges=109, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), 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=52, num_edges=268, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=10, num_edges=44, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=27, num_edges=123, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={})] Test accuracy: 0.28699551569506726 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: 1.950, val acc: 0.162 (best 0.162), test acc: 0.149 (best 0.149) In epoch 5, loss: 1.887, val acc: 0.164 (best 0.164), test acc: 0.153 (best 0.153) In epoch 10, loss: 1.765, val acc: 0.358 (best 0.358), test acc: 0.349 (best 0.349) In epoch 15, loss: 1.580, val acc: 0.512 (best 0.512), test acc: 0.505 (best 0.505) In epoch 20, loss: 1.337, val acc: 0.546 (best 0.546), test acc: 0.538 (best 0.538) In epoch 25, loss: 1.058, val acc: 0.566 (best 0.566), test acc: 0.551 (best 0.551) In epoch 30, loss: 0.780, val acc: 0.600 (best 0.600), test acc: 0.589 (best 0.589) In epoch 35, loss: 0.535, val acc: 0.660 (best 0.660), test acc: 0.632 (best 0.632) In epoch 40, loss: 0.345, val acc: 0.706 (best 0.706), test acc: 0.675 (best 0.675) In epoch 45, loss: 0.215, val acc: 0.716 (best 0.716), test acc: 0.676 (best 0.679) In epoch 50, loss: 0.135, val acc: 0.720 (best 0.720), test acc: 0.677 (best 0.676) In epoch 55, loss: 0.087, val acc: 0.718 (best 0.720), test acc: 0.681 (best 0.676) In epoch 60, loss: 0.059, val acc: 0.716 (best 0.720), test acc: 0.684 (best 0.676) In epoch 65, loss: 0.042, val acc: 0.712 (best 0.720), test acc: 0.688 (best 0.676) In epoch 70, loss: 0.032, val acc: 0.710 (best 0.720), test acc: 0.692 (best 0.676) In epoch 75, loss: 0.025, val acc: 0.710 (best 0.720), test acc: 0.693 (best 0.676) In epoch 80, loss: 0.021, val acc: 0.710 (best 0.720), test acc: 0.696 (best 0.676) In epoch 85, loss: 0.018, val acc: 0.710 (best 0.720), test acc: 0.700 (best 0.676) In epoch 90, loss: 0.015, val acc: 0.710 (best 0.720), test acc: 0.699 (best 0.676) In epoch 95, loss: 0.014, val acc: 0.712 (best 0.720), test acc: 0.697 (best 0.676) In epoch 100, loss: 0.012, val acc: 0.716 (best 0.720), test acc: 0.699 (best 0.676) In epoch 105, loss: 0.011, val acc: 0.716 (best 0.720), test acc: 0.702 (best 0.676) In epoch 110, loss: 0.010, val acc: 0.718 (best 0.720), test acc: 0.703 (best 0.676) In epoch 115, loss: 0.009, val acc: 0.724 (best 0.724), test acc: 0.705 (best 0.705) In epoch 120, loss: 0.009, val acc: 0.724 (best 0.724), test acc: 0.705 (best 0.705) In epoch 125, loss: 0.008, val acc: 0.724 (best 0.724), test acc: 0.706 (best 0.705) In epoch 130, loss: 0.008, val acc: 0.726 (best 0.726), test acc: 0.706 (best 0.706) In epoch 135, loss: 0.007, val acc: 0.726 (best 0.726), test acc: 0.706 (best 0.706) In epoch 140, loss: 0.007, val acc: 0.726 (best 0.726), test acc: 0.706 (best 0.706) In epoch 145, loss: 0.006, val acc: 0.726 (best 0.726), test acc: 0.706 (best 0.706) In epoch 150, loss: 0.006, val acc: 0.726 (best 0.726), test acc: 0.706 (best 0.706) In epoch 155, loss: 0.006, val acc: 0.726 (best 0.726), test acc: 0.705 (best 0.706) In epoch 160, loss: 0.005, val acc: 0.728 (best 0.728), test acc: 0.706 (best 0.706) In epoch 165, loss: 0.005, val acc: 0.728 (best 0.728), test acc: 0.706 (best 0.706) In epoch 170, loss: 0.005, val acc: 0.728 (best 0.728), test acc: 0.707 (best 0.706) In epoch 175, loss: 0.005, val acc: 0.728 (best 0.728), test acc: 0.706 (best 0.706) In epoch 180, loss: 0.004, val acc: 0.726 (best 0.728), test acc: 0.706 (best 0.706) In epoch 185, loss: 0.004, val acc: 0.726 (best 0.728), test acc: 0.706 (best 0.706) In epoch 190, loss: 0.004, val acc: 0.726 (best 0.728), test acc: 0.705 (best 0.706) In epoch 195, loss: 0.004, val acc: 0.726 (best 0.728), test acc: 0.704 (best 0.706) In epoch 0, loss: 1.950, val acc: 0.288 (best 0.288), test acc: 0.284 (best 0.284) In epoch 5, loss: 1.874, val acc: 0.178 (best 0.340), test acc: 0.167 (best 0.356) In epoch 10, loss: 1.731, val acc: 0.488 (best 0.488), test acc: 0.472 (best 0.472) In epoch 15, loss: 1.515, val acc: 0.538 (best 0.538), test acc: 0.516 (best 0.516) In epoch 20, loss: 1.234, val acc: 0.560 (best 0.560), test acc: 0.544 (best 0.544) In epoch 25, loss: 0.920, val acc: 0.608 (best 0.608), test acc: 0.590 (best 0.590) In epoch 30, loss: 0.622, val acc: 0.678 (best 0.678), test acc: 0.658 (best 0.658) In epoch 35, loss: 0.384, val acc: 0.732 (best 0.732), test acc: 0.714 (best 0.714) In epoch 40, loss: 0.224, val acc: 0.750 (best 0.750), test acc: 0.752 (best 0.752) In epoch 45, loss: 0.129, val acc: 0.760 (best 0.760), test acc: 0.764 (best 0.764) In epoch 50, loss: 0.076, val acc: 0.760 (best 0.762), test acc: 0.770 (best 0.767) In epoch 55, loss: 0.048, val acc: 0.756 (best 0.762), test acc: 0.767 (best 0.767) In epoch 60, loss: 0.032, val acc: 0.758 (best 0.762), test acc: 0.763 (best 0.767) In epoch 65, loss: 0.023, val acc: 0.756 (best 0.762), test acc: 0.762 (best 0.767) In epoch 70, loss: 0.018, val acc: 0.756 (best 0.762), test acc: 0.762 (best 0.767) In epoch 75, loss: 0.015, val acc: 0.756 (best 0.762), test acc: 0.761 (best 0.767) In epoch 80, loss: 0.012, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 85, loss: 0.011, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 90, loss: 0.009, val acc: 0.752 (best 0.762), test acc: 0.760 (best 0.767) In epoch 95, loss: 0.008, val acc: 0.752 (best 0.762), test acc: 0.760 (best 0.767) In epoch 100, loss: 0.008, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 105, loss: 0.007, val acc: 0.752 (best 0.762), test acc: 0.759 (best 0.767) In epoch 110, loss: 0.007, val acc: 0.752 (best 0.762), test acc: 0.759 (best 0.767) In epoch 115, loss: 0.006, val acc: 0.752 (best 0.762), test acc: 0.759 (best 0.767) In epoch 120, loss: 0.006, val acc: 0.752 (best 0.762), test acc: 0.759 (best 0.767) In epoch 125, loss: 0.005, val acc: 0.752 (best 0.762), test acc: 0.759 (best 0.767) In epoch 130, loss: 0.005, val acc: 0.756 (best 0.762), test acc: 0.760 (best 0.767) In epoch 135, loss: 0.005, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 140, loss: 0.004, val acc: 0.754 (best 0.762), test acc: 0.761 (best 0.767) In epoch 145, loss: 0.004, val acc: 0.754 (best 0.762), test acc: 0.761 (best 0.767) In epoch 150, loss: 0.004, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 155, loss: 0.004, val acc: 0.754 (best 0.762), test acc: 0.760 (best 0.767) In epoch 160, loss: 0.004, val acc: 0.754 (best 0.762), test acc: 0.759 (best 0.767) In epoch 165, loss: 0.003, val acc: 0.754 (best 0.762), test acc: 0.758 (best 0.767) In epoch 170, loss: 0.003, val acc: 0.754 (best 0.762), test acc: 0.758 (best 0.767) In epoch 175, loss: 0.003, val acc: 0.752 (best 0.762), test acc: 0.758 (best 0.767) In epoch 180, loss: 0.003, val acc: 0.752 (best 0.762), test acc: 0.757 (best 0.767) In epoch 185, loss: 0.003, val acc: 0.754 (best 0.762), test acc: 0.756 (best 0.767) In epoch 190, loss: 0.003, val acc: 0.754 (best 0.762), test acc: 0.756 (best 0.767) In epoch 195, loss: 0.003, val acc: 0.754 (best 0.762), test acc: 0.755 (best 0.767) 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: 0.6929917931556702 In epoch 5, loss: 0.6615493893623352 In epoch 10, loss: 0.5657455921173096 In epoch 15, loss: 0.5093730092048645 In epoch 20, loss: 0.47603705525398254 In epoch 25, loss: 0.45575785636901855 In epoch 30, loss: 0.43127650022506714 In epoch 35, loss: 0.4093198776245117 In epoch 40, loss: 0.38859838247299194 In epoch 45, loss: 0.36888808012008667 In epoch 50, loss: 0.34885677695274353 In epoch 55, loss: 0.32798826694488525 In epoch 60, loss: 0.3077097535133362 In epoch 65, loss: 0.2873033881187439 In epoch 70, loss: 0.26669231057167053 In epoch 75, loss: 0.2461155205965042 In epoch 80, loss: 0.22611193358898163 In epoch 85, loss: 0.20623603463172913 In epoch 90, loss: 0.18710586428642273 In epoch 95, loss: 0.16850513219833374 AUC 0.8441436625412726 Running tutorial ./blitz/1_introduction.py ... 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] 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: 0.144 (best 0.144), test acc: 0.126 (best 0.126) In epoch 5, loss: 1.899, val acc: 0.540 (best 0.540), test acc: 0.539 (best 0.539) In epoch 10, loss: 1.825, val acc: 0.632 (best 0.640), test acc: 0.629 (best 0.623) In epoch 15, loss: 1.729, val acc: 0.642 (best 0.646), test acc: 0.649 (best 0.637) In epoch 20, loss: 1.606, val acc: 0.654 (best 0.654), test acc: 0.675 (best 0.675) In epoch 25, loss: 1.461, val acc: 0.664 (best 0.664), test acc: 0.686 (best 0.679) In epoch 30, loss: 1.297, val acc: 0.670 (best 0.670), test acc: 0.691 (best 0.691) In epoch 35, loss: 1.125, val acc: 0.682 (best 0.682), test acc: 0.692 (best 0.693) In epoch 40, loss: 0.953, val acc: 0.690 (best 0.690), test acc: 0.694 (best 0.695) In epoch 45, loss: 0.790, val acc: 0.700 (best 0.700), test acc: 0.702 (best 0.702) In epoch 50, loss: 0.645, val acc: 0.720 (best 0.720), test acc: 0.714 (best 0.714) In epoch 55, loss: 0.521, val acc: 0.730 (best 0.730), test acc: 0.729 (best 0.729) In epoch 60, loss: 0.418, val acc: 0.748 (best 0.748), test acc: 0.749 (best 0.749) In epoch 65, loss: 0.336, val acc: 0.756 (best 0.756), test acc: 0.760 (best 0.760) In epoch 70, loss: 0.272, val acc: 0.760 (best 0.760), test acc: 0.770 (best 0.766) In epoch 75, loss: 0.222, val acc: 0.766 (best 0.766), test acc: 0.775 (best 0.775) In epoch 80, loss: 0.183, val acc: 0.778 (best 0.778), test acc: 0.782 (best 0.782) In epoch 85, loss: 0.152, val acc: 0.780 (best 0.780), test acc: 0.783 (best 0.783) In epoch 90, loss: 0.128, val acc: 0.782 (best 0.782), test acc: 0.783 (best 0.783) In epoch 95, loss: 0.109, val acc: 0.784 (best 0.784), test acc: 0.781 (best 0.781) PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g1] PASSED [ 58%] tests/go/test_pipeline.py::test_linkpred_node_model[gcn] Running tutorial ./blitz/6_load_data.py ... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g1] ./blitz/6_load_data.py:107: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) nodes_data["Club"].astype("category").cat.codes.to_numpy() Graph(num_nodes=34, num_edges=156, ndata_schemes={'feat': Scheme(shape=(), dtype=torch.int64), 'label': Scheme(shape=(), dtype=torch.int8), 'train_mask': Scheme(shape=(), dtype=torch.bool), 'val_mask': Scheme(shape=(), dtype=torch.bool), 'test_mask': Scheme(shape=(), dtype=torch.bool)} edata_schemes={'weight': Scheme(shape=(), dtype=torch.float64)}) Graph(num_nodes=15, num_edges=45, ndata_schemes={} edata_schemes={}) tensor(0) Running tutorial ./blitz/2_dglgraph.py ... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g1] (tensor([0, 0, 0, 0, 0]), tensor([1, 2, 3, 4, 5])) tensor([[ 0.7241, 0.1011, 0.1940, 0.0680], [-0.3704, -1.6443, 0.5064, -0.4835], [-0.3017, -2.0130, 0.4209, -0.5330], [ 1.5851, 0.2121, 2.0502, -0.7865], [ 0.6125, 0.1144, -1.2317, -0.5962]]) 6 5 5 0 tensor([0, 1, 3]) tensor([0, 2]) tensor([0, 1, 2, 4]) tensor([0, 1, 3]) tensor([[-0.3941, 1.7024, 1.0950], [-0.0298, -0.2198, 0.1335], [-1.0748, -0.4720, 0.0226]]) tensor([[ 0.7241, 0.1011, 0.1940, 0.0680], [-0.3017, -2.0130, 0.4209, -0.5330]]) tensor([[-0.3941, 1.7024, 1.0950], [-0.0298, -0.2198, 0.1335], [ 1.0175, -1.2354, -0.8033], [-0.3012, 1.0292, -0.2041]]) tensor([[ 0.7241, 0.1011, 0.1940, 0.0680], [-0.3704, -1.6443, 0.5064, -0.4835], [ 1.5851, 0.2121, 2.0502, -0.7865]]) (tensor([0, 0, 0, 0, 0, 1, 2, 3, 4, 5]), tensor([1, 2, 3, 4, 5, 0, 0, 0, 0, 0])) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=3, num_edges=2, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=4, num_edges=3, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Running tutorial ./large/L1_large_node_classification.py ... PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g1] WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.5. 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] /root/jenkins/workspace/dgl_PR-4814@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 ' Graph(num_nodes=169343, num_edges=2332486, ndata_schemes={'year': Scheme(shape=(1,), dtype=torch.int64), 'feat': Scheme(shape=(128,), dtype=torch.float32), 'label': Scheme(shape=(), dtype=torch.int64)} edata_schemes={}) tensor([[ 4], [ 5], [28], ..., [10], [ 4], [ 1]]) Number of classes: 40 [tensor([112157, 6020, 98116, ..., 80937, 1079, 167790]), tensor([112157, 6020, 98116, ..., 18946, 6025, 165403]), [Block(num_src_nodes=12709, num_dst_nodes=4084, num_edges=14630), Block(num_src_nodes=4084, num_dst_nodes=1024, num_edges=3246)]] To compute 1024 nodes' outputs, we need 12709 nodes' input features tensor([112157, 6020, 98116, ..., 80937, 1079, 167790]) tensor([112157, 6020, 98116, ..., 41984, 157551, 97]) True 0%| | 0/89 [00:00= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4814/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-4814/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-4814/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-4814/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-4814/pytest_go.xml ----- ============================ slowest 100 durations ============================= 60.48s call tests/go/test_pipeline.py::test_node_cora 8.17s call tests/go/test_pipeline.py::test_nodepred_data[cora] 8.16s call tests/go/test_pipeline.py::test_nodepred_data[csv] 8.08s call tests/go/test_pipeline.py::test_nodepred_data[citeseer] 8.05s call tests/go/test_pipeline.py::test_nodepred_data[pubmed] 7.81s call tests/go/test_pipeline.py::test_nodepred_data[reddit] 7.44s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 6.66s call tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 6.54s call tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] 6.52s call tests/go/test_pipeline.py::test_linkpred_data[pubmed] 6.40s call tests/go/test_pipeline.py::test_nodepred_ns_model[gat] 6.36s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] 6.34s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 6.31s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 6.30s call tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] 6.21s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 6.19s call tests/go/test_pipeline.py::test_graphpred[pna-csv] 6.15s call tests/go/test_pipeline.py::test_nodepred_ns_data[cora] 6.13s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] 6.06s call tests/go/test_pipeline.py::test_nodepred_model[gat] 6.03s call tests/go/test_pipeline.py::test_linkpred_data[csv] 5.99s call tests/go/test_pipeline.py::test_nodepred_ns_data[csv] 5.98s call tests/go/test_pipeline.py::test_nodepred_model[gin] 5.91s call tests/go/test_pipeline.py::test_linkpred_data[cora] 5.86s call tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] 5.85s call tests/go/test_pipeline.py::test_nodepred_model[sage] 5.84s call tests/go/test_pipeline.py::test_nodepred_model[sgc] 5.84s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] 5.82s call tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 5.82s call tests/go/test_pipeline.py::test_linkpred_data[citeseer] 5.75s call tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 5.69s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] 5.68s call tests/go/test_pipeline.py::test_graphpred[gin-csv] 5.64s call tests/go/test_pipeline.py::test_nodepred_model[gcn] 5.60s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] 5.58s call tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] 5.10s call tests/go/test_pipeline.py::test_linkpred_data[reddit] 5.09s call tests/go/test_pipeline.py::test_linkpred_node_model[sage] 5.00s call tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] 4.99s call tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 4.94s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] 4.86s call tests/go/test_pipeline.py::test_linkpred_node_model[gin] 4.77s call tests/go/test_pipeline.py::test_linkpred_node_model[gat] 4.74s call tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 4.71s call tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 4.63s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 4.59s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] 4.58s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] 4.43s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] 4.26s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] 4.18s call tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 3.30s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 3.04s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 2.95s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 2.92s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 2.91s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 2.67s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 2.22s call tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 2.21s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 2.20s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 2.19s call tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 2.16s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 2.16s call tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 2.16s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 2.13s call tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 2.08s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 2.08s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 2.05s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 0.30s call tests/go/test_model.py::test_pna 0.18s call tests/go/test_model.py::test_ogbg_gin[True] 0.17s call tests/go/test_model.py::test_gcn[g0] 0.07s call tests/go/test_model.py::test_ogbg_gin[False] 0.06s call tests/go/test_model.py::test_gat[g0] 0.05s call tests/go/test_model.py::test_gin[g0] 0.04s call tests/go/test_model.py::test_gcn_block[g0] 0.02s call tests/go/test_model.py::test_sage[g0] 0.01s call tests/go/test_model.py::test_sgc[g0] 0.01s call tests/go/test_model.py::test_gat_block[g0] 0.01s call tests/go/test_model.py::test_sage_block[g0] (21 durations < 0.005s hidden. Use -vv to show these durations.) ================= 81 passed, 23 warnings in 399.34s (0:06:39) ================== [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 40463a3db8b75918cfeab2372bf39bc002a0640e10546385604176b590558565 $ docker rm -f 40463a3db8b75918cfeab2372bf39bc002a0640e10546385604176b590558565 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 97%] 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...) [ 98%] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 98%] 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_transform.py::test_shortest_dist[int32] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4814@4/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: 10 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-4814@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/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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-4814@4/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: 10 warnings tests/compute/test_transform.py: 1 warning /root/jenkins/workspace/dgl_PR-4814@4/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-4814@4/python/dgl/data/graph_serialize.py:196: 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-4814@4/python/dgl/transforms/functional.py:1269: 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-4814@4/python/dgl/transforms/functional.py:1272: 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-4814@4/python/dgl/transforms/functional.py:1321: 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-4814@4/pytest_compute.xml - ============================ slowest 100 durations ============================= 160.71s call tests/compute/test_kernel.py::test_all_binary_builtins 87.07s call tests/compute/test_transform.py::test_metis_partition[int64] 83.15s call tests/compute/test_sampler.py::test_negative_sampler 8.54s call tests/compute/test_kernel.py::test_copy_src_reduce 7.51s call tests/compute/test_kernel.py::test_copy_edge_reduce 5.05s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 4.86s call tests/compute/test_transform.py::test_reorder_nodes 4.42s call tests/compute/test_heterograph.py::test_query[int32] 3.74s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] 3.68s call tests/compute/test_graph.py::test_query 3.59s call tests/compute/test_heterograph.py::test_query[int64] 3.40s call tests/compute/test_transform.py::test_add_reverse_edges 3.36s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 3.01s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] 2.83s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g1] 2.79s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] 2.72s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] 2.57s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] 2.35s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.34s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] 2.33s call tests/compute/test_transform.py::test_partition_with_halo 2.07s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] 1.97s call tests/compute/test_heterograph.py::test_level2[int32] 1.96s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] 1.94s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] 1.93s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] 1.90s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] 1.86s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] 1.78s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] 1.74s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 1.71s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] 1.63s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] 1.63s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] 1.57s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] 1.57s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] 1.56s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] 1.55s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] 1.54s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] 1.53s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] 1.51s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] 1.47s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] 1.45s call tests/compute/test_transform.py::test_reverse[int64] 1.44s call tests/compute/test_heterograph.py::test_view1[int32] 1.40s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] 1.40s call tests/compute/test_sampling.py::test_sample_neighbors_prob 1.40s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] 1.38s call tests/compute/test_transform.py::test_to_bidirected 1.37s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] 1.37s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.36s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] 1.34s call tests/compute/test_propagate.py::test_prop_edges_dfs[int32] 1.33s call tests/compute/test_transform.py::test_reverse[int32] 1.32s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] 1.31s call tests/compute/test_propagate.py::test_prop_edges_dfs[int64] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] 1.20s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] 1.20s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 1.19s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] 1.16s call tests/compute/test_heterograph.py::test_view1[int64] 1.16s call tests/compute/test_heterograph.py::test_updates[int32] 1.16s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] 1.16s call tests/compute/test_sampling.py::test_node2vec 1.16s call tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp2-g1] 1.12s call tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp4-g1] 1.12s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 1.12s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] 1.11s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] 1.10s call tests/compute/test_heterograph.py::test_updates[int64] 1.06s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] 1.05s call tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] 1.04s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] 1.03s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] 1.00s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] 1.00s call tests/compute/test_subgraph.py::test_in_subgraph[int64] 0.97s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] 0.96s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.95s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.95s call tests/compute/test_transform.py::test_khop_graph 0.95s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] 0.95s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] 0.92s call tests/compute/test_traversal.py::test_bfs[int64] 0.89s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.89s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] 0.87s call tests/compute/test_heterograph.py::test_level2[int64] 0.85s call tests/compute/test_subgraph.py::test_out_subgraph[int32] 0.83s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] 0.82s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] 0.81s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.81s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g1] 0.76s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] 0.75s call tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp3-g0] 0.75s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.74s call tests/compute/test_traversal.py::test_bfs[int32] 0.73s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.73s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] 0.70s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] 0.70s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] ========= 2286 passed, 186 skipped, 523 warnings in 862.71s (0:14:22) ========== 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-4814@4 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 [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 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-4814@4/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-4814@4/pytest_backend.xml - ============================ slowest 100 durations ============================= 2.00s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 1.90s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 1.71s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 1.39s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 1.10s call tests/mxnet/test_nn.py::test_gg_conv 0.99s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.99s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.97s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.94s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.93s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.91s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.91s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.90s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.89s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.86s call tests/mxnet/test_nn.py::test_simple_pool 0.86s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.85s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 0.82s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.81s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.78s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.76s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 0.74s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.74s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.72s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.72s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.70s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.68s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.67s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 0.66s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.66s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] 0.65s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.64s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 0.63s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.63s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.61s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.61s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] 0.61s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] 0.61s call tests/mxnet/test_nn.py::test_tagconv[2] 0.60s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.59s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] 0.58s call tests/mxnet/test_nn.py::test_rgcn[2] 0.58s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.58s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] 0.58s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] 0.57s call tests/mxnet/test_nn.py::test_tagconv[1] 0.57s call tests/mxnet/test_nn.py::test_rgcn[8] 0.57s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] 0.55s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] 0.53s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.53s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.53s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.52s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] 0.52s call tests/mxnet/test_nn.py::test_set2set 0.52s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] 0.52s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.52s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.52s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.51s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.50s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] 0.47s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.47s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] 0.46s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] 0.44s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.44s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] 0.44s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.43s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] 0.41s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] 0.40s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] 0.40s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.39s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] 0.38s call tests/mxnet/test_nn.py::test_rgcn[1] 0.37s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] 0.37s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] 0.36s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] 0.36s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] 0.36s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.36s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] 0.35s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] 0.34s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] 0.34s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] 0.33s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] 0.33s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] 0.32s call tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] 0.32s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] 0.31s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] 0.31s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] 0.31s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] ================= 806 passed, 2 warnings in 148.21s (0:02:28) ================== [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 ba5f0b5927e3e065ecd9119aa4f6309bac448cb92bcaebe0d000e70bc43c7372 $ docker rm -f ba5f0b5927e3e065ecd9119aa4f6309bac448cb92bcaebe0d000e70bc43c7372 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [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-4814 [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-4814 -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4814:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4814:rw,z -v /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4814@tmp:/home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4814@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-awscli:v220418 cat $ docker top 6a36d4b7696485638b08c265d366c00387ec05ad420aa0a02f73bcb8d9e6e781 -eo pid,comm [Pipeline] { [Pipeline] sh + rm -rf ci_tmp [Pipeline] dir Running in /home/ubuntu/dgl_ci_post_linux/workspace/dgl_PR-4814/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-4814/3/consoleText % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed