Pull request #4291 updated Connecting to https://api.github.com using GitHub Access Token Connecting to https://api.github.com to check permissions of obtain list of rudongyu for dmlc/dgl Obtained Jenkinsfile from 20d8040afb48a37f612dfe930a5324d233441711+39987bc59970289b774319f9e7ccd1ad57a1cb98 (52d2e8a48be85c08613cbfeae7543de4cc53c8e8) [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4291 [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing e104a6c63adb7f48f3c8299c2762ff2e810ad440 Checking out Revision e104a6c63adb7f48f3c8299c2762ff2e810ad440 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e104a6c63adb7f48f3c8299c2762ff2e810ad440 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 e104a6c63adb7f48f3c8299c2762ff2e810ad440 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Regression Test Trigger) [Pipeline] node Running on dgci-worker-permanent in /var/jenkins/workspace/dgl_PR-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 9b134c2d9171a342da948d0d3505744891ac8f57 Checking out Revision 9b134c2d9171a342da948d0d3505744891ac8f57 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4291/.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 2.7.4' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 9b134c2d9171a342da948d0d3505744891ac8f57 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 9b134c2d9171a342da948d0d3505744891ac8f57 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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 /var/jenkins/workspace/dgl_PR-4291 -v /var/jenkins/workspace/dgl_PR-4291:/var/jenkins/workspace/dgl_PR-4291:rw,z -v /var/jenkins/workspace/dgl_PR-4291@tmp:/var/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top d78427fc8ebe5ae410f4260994f46fcf8e2da2c24f89854f0d46555a69768b85 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 d78427fc8ebe5ae410f4260994f46fcf8e2da2c24f89854f0d46555a69768b85 $ docker rm -f d78427fc8ebe5ae410f4260994f46fcf8e2da2c24f89854f0d46555a69768b85 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node Stage "Regression Test Trigger" skipped due to when conditional [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Bot Instruction) [Pipeline] node Running on dgci-worker-permanent in /var/jenkins/workspace/dgl_PR-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing b29c766e60a960dcca598b89d47c53f174ac3f4c Checking out Revision b29c766e60a960dcca598b89d47c53f174ac3f4c (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4291/.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 2.7.4' using GIT_ASKPASS to set credentials GitHub Access Token > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b29c766e60a960dcca598b89d47c53f174ac3f4c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 b29c766e60a960dcca598b89d47c53f174ac3f4c # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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 /var/jenkins/workspace/dgl_PR-4291 -v /var/jenkins/workspace/dgl_PR-4291:/var/jenkins/workspace/dgl_PR-4291:rw,z -v /var/jenkins/workspace/dgl_PR-4291@tmp:/var/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 477a65213c87b15c8bb838dfbe5eab21ff3fd0c37517fd6a64a7901559e7b666 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] echo Not the first build [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 477a65213c87b15c8bb838dfbe5eab21ff3fd0c37517fd6a64a7901559e7b666 $ docker rm -f 477a65213c87b15c8bb838dfbe5eab21ff3fd0c37517fd6a64a7901559e7b666 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [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-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 Merge succeeded, producing 1f961ab79f8949b5a6f551127f718b39f2429380 Checking out Revision 1f961ab79f8949b5a6f551127f718b39f2429380 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1f961ab79f8949b5a6f551127f718b39f2429380 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 1f961ab79f8949b5a6f551127f718b39f2429380 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] withEnv [Pipeline] { > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 90fdf3dbc64ec4ccd0a1cf81d35bc2b0274250b451fbb2091fb5b3724b27e9c6 -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 python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@3b1b980c; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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-4291/.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 Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 1661a09758661d95004b213daa6aad5f991aef28 Checking out Revision 1661a09758661d95004b213daa6aad5f991aef28 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1661a09758661d95004b213daa6aad5f991aef28 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 1661a09758661d95004b213daa6aad5f991aef28 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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... Done processing include/dgl/base_heterograph.h Done processing include/dgl/nodeflow.h Done processing include/dgl/graph_serializer.h Done processing include/dgl/kernel.h Done processing include/dgl/transform.h Done processing include/dgl/bcast.h Done processing include/dgl/zerocopy_serializer.h Done processing include/dgl/scheduler.h Done processing include/dgl/lazy.h Done processing include/dgl/random.h Done processing include/dgl/graph_traversal.h Done processing include/dgl/sampler.h Done processing include/dgl/graph_op.h Done processing include/dgl/packed_func_ext.h Done processing include/dgl/graph_interface.h Done processing include/dgl/array.h Done processing include/dgl/array_iterator.h Done processing include/dgl/graph.h Done processing include/dgl/immutable_graph.h Done processing include/dgl/aten/csr.h Done processing include/dgl/aten/array_ops.h Done processing include/dgl/aten/macro.h Done processing include/dgl/aten/types.h Done processing include/dgl/aten/spmat.h Done processing include/dgl/aten/coo.h Done processing include/dgl/sampling/negative.h Done processing include/dgl/sampling/neighbor.h Done processing include/dgl/sampling/randomwalks.h Done processing include/dgl/runtime/serializer.h Done processing include/dgl/runtime/device_api.h Done processing include/dgl/runtime/c_backend_api.h Done processing include/dgl/runtime/container.h Done processing include/dgl/runtime/shared_mem.h Done processing include/dgl/runtime/c_runtime_api.h Done processing include/dgl/runtime/packed_func.h Done processing include/dgl/runtime/threading_backend.h Done processing include/dgl/runtime/parallel_for.h Done processing include/dgl/runtime/smart_ptr_serializer.h Done processing include/dgl/runtime/tensordispatch.h Done processing include/dgl/runtime/c_object_api.h Done processing include/dgl/runtime/module.h Done processing include/dgl/runtime/registry.h Done processing include/dgl/runtime/ndarray.h Done processing include/dgl/runtime/object.h Done processing include/dgl/runtime/util.h Done processing include/intel/meta_utils.h Done processing include/intel/cpu_support.h Done processing src/c_api_common.cc Done processing src/c_api_common.h Done processing src/bcast.cc Done processing src/array/filter.cc Done processing src/array/uvm_array.cc Done processing src/array/array.cc Done processing src/array/union_partition.cc Done processing src/array/arith.h Done processing src/array/check.h Done processing src/array/uvm_array_op.h Done processing src/array/kernel.cc Done processing src/array/filter.h Done processing src/array/array_op.h Done processing src/array/selector.h Done processing src/array/array_arith.cc Done processing src/array/kernel_decl.h Done processing src/array/libra_partition.cc Done processing src/array/cuda/sddmm_hetero_coo.cu Done processing src/array/cuda/array_nonzero.cu Done processing src/array/cuda/rowwise_sampling_prob.cu Done processing src/array/cuda/csr_mm.cu Done processing src/array/cuda/csr_transpose.cc Done processing src/array/cuda/rowwise_sampling.cu Done processing src/array/cuda/array_scatter.cu Done processing src/array/cuda/utils.h Done processing src/array/cuda/coo2csr.cu Done processing src/array/cuda/csr_sum.cu Done processing src/array/cuda/negative_sampling.cu Done processing src/array/cuda/cuda_filter.cu Done processing src/array/cuda/sddmm.cu Done processing src/array/cuda/disjoint_union.cu Done processing src/array/cuda/csr2coo.cu Done processing src/array/cuda/utils.cu Done processing src/array/cuda/spmm.cu Done processing src/array/cuda/csr_sort.cu Done processing src/array/cuda/csr_get_data.cu Done processing src/array/cuda/gather_mm.cu Done processing src/array/cuda/spmm_hetero.cu Done processing src/array/cuda/array_index_select.cu Done processing src/array/cuda/spmat_op_impl_csr.cu Done processing src/array/cuda/coo_sort.cu Done processing src/array/cuda/sddmm_hetero_csr.cu Done processing src/array/cuda/spmat_op_impl_coo.cu Done processing src/array/cuda/array_op_impl.cu Done processing src/array/cuda/array_sort.cu Done processing src/array/cuda/segment_reduce.cu Done processing src/array/cuda/array_cumsum.cu Done processing src/array/cuda/uvm/array_index_select_uvm.cu Done processing src/array/cpu/array_nonzero.cc Done processing src/array/cpu/rowwise_pick.h Done processing src/array/cpu/csr_union.cc Done processing src/array/cpu/rowwise_sampling.cc Done processing src/array/cpu/traversal.cc Done processing src/array/cpu/segment_reduce.cc Done processing src/array/cpu/segment_reduce.h Done processing src/array/cpu/spmm.cc Done processing src/array/cpu/rowwise_topk.cc Done processing src/array/cpu/coo_coalesce.cc Done processing src/array/cpu/csr_get_data.cc Done processing src/array/cpu/array_op_impl.cc Done processing src/array/cpu/array_cumsum.cc Done processing src/array/cpu/coo_sort.cc Done processing src/array/cpu/array_scatter.cc Done processing src/array/cpu/spmat_op_impl_coo.cc Done processing src/array/cpu/array_repeat.cc Done processing src/array/cpu/array_sort.cc Done processing src/array/cpu/csr_sort.cc Done processing src/array/cpu/array_utils.h Done processing src/array/cpu/csr_to_simple.cc Done processing src/array/cpu/spmat_op_impl_csr.cc Done processing src/array/cpu/disjoint_union.cc Done processing src/array/cpu/csr_mm.cc Done processing src/array/cpu/array_index_select.cc Done processing src/array/cpu/negative_sampling.cc Done processing src/array/cpu/spmm_binary_ops.h Done processing src/array/cpu/gather_mm.h Done processing src/array/cpu/csr_remove.cc Done processing src/array/cpu/csr_sum.cc Done processing src/array/cpu/sddmm.cc Done processing src/array/cpu/coo_linegraph.cc Done processing src/array/cpu/gather_mm.cc Done processing src/array/cpu/spmm.h Done processing src/array/cpu/sddmm.h Done processing src/array/cpu/coo_remove.cc Done processing src/array/cpu/array_pack.cc Done processing src/array/cpu/spmm_blocking_libxsmm.h Done processing src/array/cpu/traversal.h Done processing src/geometry/geometry.cc Done processing src/geometry/geometry_op.h Done processing src/geometry/cuda/edge_coarsening_impl.cu Done processing src/geometry/cuda/geometry_op_impl.cu Done processing src/geometry/cpu/geometry_op_impl.cc Done processing src/partition/partition_op.h Done processing src/partition/ndarray_partition.cc Done processing src/partition/ndarray_partition.h Done processing src/partition/cuda/partition_op.cu Done processing src/dataloading/async_transferer.h Done processing src/dataloading/async_transferer.cc Done processing src/scheduler/scheduler.cc Done processing src/scheduler/scheduler_apis.cc Done processing src/random/random.cc Done processing src/random/cpu/choice.cc Done processing src/random/cpu/sample_utils.h Done processing src/graph/gk_ops.cc Done processing src/graph/graph_apis.cc Done processing src/graph/heterograph.h Done processing src/graph/traversal.cc Done processing src/graph/network.h Done processing src/graph/unit_graph.h Done processing src/graph/creators.cc Done processing src/graph/heterograph.cc Done processing src/graph/graph_traversal.cc Done processing src/graph/graph.cc Done processing src/graph/metis_partition.cc Done processing src/graph/immutable_graph.cc Done processing src/graph/sampler.cc Done processing src/graph/unit_graph.cc Done processing src/graph/subgraph.cc Done processing src/graph/nodeflow.cc Done processing src/graph/shared_mem_manager.h Done processing src/graph/network.cc Done processing src/graph/heterograph_capi.cc Done processing src/graph/pickle.cc Done processing src/graph/graph_op.cc Done processing src/graph/traversal.h Done processing src/graph/shared_mem_manager.cc Done processing src/graph/sampling/neighbor/neighbor.cc Done processing src/graph/sampling/negative/global_uniform.cc Done processing src/graph/sampling/randomwalks/randomwalk_cpu.cc Done processing src/graph/sampling/randomwalks/get_node_types_gpu.cu Done processing src/graph/sampling/randomwalks/node2vec.cc Done processing src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc Done processing src/graph/sampling/randomwalks/frequency_hashmap.cu Done processing src/graph/sampling/randomwalks/randomwalks_cpu.h Done processing src/graph/sampling/randomwalks/node2vec_cpu.cc Done processing src/graph/sampling/randomwalks/metapath_randomwalk.h Done processing src/graph/sampling/randomwalks/node2vec_randomwalk.h Done processing src/graph/sampling/randomwalks/randomwalks_impl.h Done processing src/graph/sampling/randomwalks/randomwalk_gpu.cu Done processing src/graph/sampling/randomwalks/get_node_types_cpu.cc Done processing src/graph/sampling/randomwalks/randomwalks.cc Done processing src/graph/sampling/randomwalks/node2vec_impl.h Done processing src/graph/serialize/heterograph_data.h Done processing src/graph/serialize/zerocopy_serializer.cc Done processing src/graph/serialize/heterograph_serialize.cc Done processing src/graph/serialize/dglgraph_data.h Done processing src/graph/serialize/graph_serialize.h Done processing src/graph/serialize/tensor_serialize.cc Done processing src/graph/serialize/dglgraph_serialize.cc Done processing src/graph/serialize/graph_serialize.cc Done processing src/graph/serialize/streamwithcount.h Done processing src/graph/transform/union_partition.cc Done processing src/graph/transform/compact.cc Done processing src/graph/transform/partition_hetero.cc Done processing src/graph/transform/compact.h Done processing src/graph/transform/to_bipartite.cc Done processing src/graph/transform/line_graph.cc Done processing src/graph/transform/to_simple.cc Done processing src/graph/transform/knn.cc Done processing src/graph/transform/knn.h Done processing src/graph/transform/remove_edges.cc Done processing src/graph/transform/to_bipartite.h Done processing src/graph/transform/metis_partition_hetero.cc Done processing src/graph/transform/cuda/cuda_to_block.cu Done processing src/graph/transform/cuda/knn.cu Done processing src/graph/transform/cuda/cuda_compact_graph.cu Done processing src/graph/transform/cpu/kdtree_ndarray_adapter.h Done processing src/graph/transform/cpu/knn.cc Done processing src/runtime/pack_args.h Done processing src/runtime/system_lib_module.cc Done processing src/runtime/meta_data.h Done processing src/runtime/workspace_pool.cc Done processing src/runtime/module_util.h Done processing src/runtime/file_util.h Done processing src/runtime/thread_pool.cc Done processing src/runtime/semaphore_wrapper.h Done processing src/runtime/resource_manager.h Done processing src/runtime/module.cc Done processing src/runtime/resource_manager.cc Done processing src/runtime/threading_backend.cc Done processing src/runtime/workspace.h Done processing src/runtime/ndarray.cc Done processing src/runtime/dso_module.cc Done processing src/runtime/cpu_device_api.cc Done processing src/runtime/semaphore_wrapper.cc Done processing src/runtime/tensordispatch.cc Done processing src/runtime/parallel_for.cpp Done processing src/runtime/workspace_pool.h Done processing src/runtime/c_runtime_api.cc Done processing src/runtime/file_util.cc Done processing src/runtime/module_util.cc Done processing src/runtime/c_object_api.cc Done processing src/runtime/object.cc Done processing src/runtime/shared_mem.cc Done processing src/runtime/registry.cc Done processing src/runtime/runtime_base.h Done processing src/runtime/thread_storage_scope.h Done processing src/runtime/utils.cc Done processing src/runtime/cuda/nccl_api.cu Done processing src/runtime/cuda/cuda_common.h Done processing src/runtime/cuda/cuda_hashtable.cu Done processing src/runtime/cuda/cuda_device_api.cc Done processing src/runtime/cuda/nccl_api.h Done processing src/rpc/server_state.h Done processing src/rpc/net_type.h Done processing src/rpc/rpc_msg.h Done processing src/rpc/rpc.cc Done processing src/rpc/rpc.h Done processing src/rpc/tensorpipe/tp_communicator.h Done processing src/rpc/tensorpipe/tp_communicator.cc Done processing src/rpc/tensorpipe/queue.h Done processing src/rpc/network/socket_pool.cc Done processing src/rpc/network/tcp_socket.cc Done processing src/rpc/network/socket_communicator.h Done processing src/rpc/network/common.h Done processing src/rpc/network/msg_queue.h Done processing src/rpc/network/tcp_socket.h Done processing src/rpc/network/socket_communicator.cc Done processing src/rpc/network/msg_queue.cc Done processing src/rpc/network/socket_pool.h Done processing src/rpc/network/communicator.h Done processing src/rpc/network/common.cc Done processing src/api/api_container.cc Done processing src/api/api_test.cc =====112/112 cpp-header files passed check===== =====159/159 cpp-source files passed check===== All passed! Checking code style of python codes... Report ====== 18810 statements analysed. Statistics by type ------------------ +---------+-------+-----------+-----------+------------+---------+ |type |number |old number |difference |%documented |%badname | +=========+=======+===========+===========+============+=========+ |module |224 |NC |NC |100.00 |0.00 | +---------+-------+-----------+-----------+------------+---------+ |class |344 |NC |NC |99.71 |1.45 | +---------+-------+-----------+-----------+------------+---------+ |method |1491 |NC |NC |99.60 |0.34 | +---------+-------+-----------+-----------+------------+---------+ |function |641 |NC |NC |100.00 |1.09 | +---------+-------+-----------+-----------+------------+---------+ External dependencies --------------------- :: dgl (dgl.distgnn.partition.libra_partition) \-_api_internal (dgl._ffi.object) \-_dataloading | \-dataloader (dgl._dataloading.pytorch.dataloader) \-_deprecate | \-graph (dgl.transforms.functional) | \-nodeflow (dgl.network) | \-runtime | \-ir (dgl.function.message) | \-var (dgl.function.message) \-_ffi | \-_ctypes | | \-function (dgl._ffi.function) | | \-ndarray (dgl._ffi._ctypes.function) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.function) | \-base (dgl._ffi._ctypes.function) | \-function (dgl.transforms.functional) | \-libinfo (dgl._ffi.base) | \-ndarray (dgl._ffi.streams) | \-object (dgl.distributed.rpc) | \-object_generic (dgl._ffi._ctypes.function) | \-runtime_ctypes (dgl._ffi._ctypes.function) | \-streams (dgl._dataloading.pytorch.dataloader) \-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.partition.libra_partition) \-dataloading | \-base (dgl.dataloading.dataloader) \-distributed (dgl._dataloading.pytorch.dataloader) | \-constants (dgl.distributed.dist_context) | \-dist_context (dgl.distributed.dist_tensor) | \-dist_graph (dgl.distributed.dist_context) | \-dist_tensor (dgl.distributed.optim.pytorch.sparse_optim) | \-id_map (dgl.distributed.graph_partition_book) | \-kvstore (dgl.distributed.dist_tensor) | \-nn | | \-pytorch (dgl.distributed.optim.pytorch.sparse_optim) | \-optim | | \-pytorch | | \-utils (dgl.distributed.optim.pytorch.sparse_optim) | \-role (dgl.distributed.dist_tensor) | \-rpc (dgl.distributed.dist_tensor) | \-rpc_client (dgl.distributed.dist_context) | \-shared_mem_utils (dgl.distributed.dist_graph) | \-standalone_kvstore (dgl.distributed.kvstore) \-frame (dgl.transforms.functional) \-function (dgl.transforms.functional) | \-base (dgl.function.message) \-geometry | \-capi (dgl.geometry.fps) \-graph_index (dgl.heterograph) \-heterograph (dgl.transforms.functional) \-heterograph_index (dgl.transforms.functional) \-init (dgl.frame) \-multiprocessing (dgl.dataloading.dataloader) \-ndarray (dgl.transforms.functional) \-nn | \-functional (dgl.nn.tensorflow.conv.gatconv) | \-mxnet | | \-utils (dgl.nn.mxnet.conv.relgraphconv) | \-pytorch (dgl.optim.pytorch.sparse_optim) | | \-conv | | | \-graphconv (dgl.nn.pytorch.conv.sgconv) | | \-linear (dgl.nn.pytorch.conv.hgtconv) | | \-softmax (dgl.nn.pytorch.conv.hgtconv) | | \-utils (dgl.nn.pytorch.conv.gatconv) | \-tensorflow | \-utils (dgl.nn.tensorflow.conv.gatconv) \-ops (dgl.nn.pytorch.linear) \-partition (dgl.transforms.functional) \-random (dgl.distributed.partition) \-readout (dgl.nn.tensorflow.glob) \-sampling (dgl.distributed.graph_services) | \-utils (dgl.sampling.neighbor) \-sparse (dgl.distgnn.partition.libra_partition) \-storages (dgl.dataloading.dataloader) \-subgraph (dgl.transforms.functional) \-transforms (dgl.distributed.dist_graph) | \-functional (dgl.transforms.module) \-traversal (dgl.propagate) \-udf (dgl.core) \-utils (dgl.transforms.functional) | \-checks (dgl.utils.data) \-view (dgl.heterograph) Raw metrics ----------- +----------+-------+------+---------+-----------+ |type |number |% |previous |difference | +==========+=======+======+=========+===========+ |code |22465 |34.75 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |35933 |55.59 |NC |NC | +----------+-------+------+---------+-----------+ |comment |1948 |3.01 |NC |NC | +----------+-------+------+---------+-----------+ |empty |4297 |6.65 |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 90fdf3dbc64ec4ccd0a1cf81d35bc2b0274250b451fbb2091fb5b3724b27e9c6 $ docker rm -f 90fdf3dbc64ec4ccd0a1cf81d35bc2b0274250b451fbb2091fb5b3724b27e9c6 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Build) [Pipeline] parallel [Pipeline] { (Branch: CPU Build) [Pipeline] { (Branch: GPU Build) [Pipeline] { (Branch: PyTorch Cugraph GPU Build) [Pipeline] { (Branch: CPU Build (Win64)) [Pipeline] stage [Pipeline] { (CPU Build) [Pipeline] stage [Pipeline] { (GPU Build) [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Build) [Pipeline] stage [Pipeline] { (CPU Build (Win64)) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4291 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +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/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing c0aac4c9a495218e1684cb8b82b0dc5c374ba0cd Checking out Revision c0aac4c9a495218e1684cb8b82b0dc5c374ba0cd (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c0aac4c9a495218e1684cb8b82b0dc5c374ba0cd # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 c0aac4c9a495218e1684cb8b82b0dc5c374ba0cd # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 96053e399cfb6cc3f6e25d13fb11831c3ed801d4 Checking out Revision 96053e399cfb6cc3f6e25d13fb11831c3ed801d4 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4291\.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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 96053e399cfb6cc3f6e25d13fb11831c3ed801d4 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 96053e399cfb6cc3f6e25d13fb11831c3ed801d4 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... 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’ Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291>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 309ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4291-5, 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-4291\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4291\_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-4291/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4291-5/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-4291/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 8/17/2022 4:12:59 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4291\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4291\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.D5E0A634.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.D5E0A634.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4291-5) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock_main.vcxproj" (14) on node 4 (default targets). 14>PrepareForBuild: Creating directory "gmock_main.dir\Release\". Creating directory "gmock_main.dir\Release\gmock_main.tlog\". InitializeBuildStatus: Creating "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest/googletest/CMakeLists.txt 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest/googlemock/CMakeLists.txt 13>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4291\build\bin\Release". 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-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\src\gtest-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock.vcxproj" (15) on node 5 (default targets). 15>PrepareForBuild: Creating directory "gmock.dir\Release\". Creating directory "gmock.dir\Release\gmock.tlog\". InitializeBuildStatus: Creating "gmock.dir\Release\gmock.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>ClCompile: gtest-all.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-4291\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock\src\gmock_main.cc" 15>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest/googlemock/CMakeLists.txt 14>ClCompile: gtest-all.cc gmock-all.cc gmock_main.cc 15>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googlemock\src\gmock-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291\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. 15>ClCompile: gtest-all.cc gmock-all.cc 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/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-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\local_filesys.cc" config.cc data.cc io.cc recordio.cc line_split.cc recordio_split.cc indexed_recordio_split.cc input_split_base.cc filesys.cc local_filesys.cc 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4291/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 8/17/2022 4:13:07 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4291\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-4291\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.0405299A.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.0405299A.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/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-4291\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\tensoradapter\pytorch\torch.cpp" torch.cpp 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Tensor ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/TensorBody.h(734): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::Tensor ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::Generator ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/TensorBody.h(800): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::Generator ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineDeviceGuard.h(427): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/DeviceGuard.h(178): message : see reference to class template instantiation 'c10::impl::InlineOptionalDeviceGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineDeviceGuard ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::string ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type_base.h(107): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::string ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(351): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(425): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(664): message : see reference to class template instantiation 'c10::VaryingShape' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(425): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(470): message : see reference to class template instantiation 'c10::VaryingShape' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(568): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::QualifiedName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/jit_type.h(903): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::QualifiedName ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::InlineStreamGuard ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineStreamGuard.h(196): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/StreamGuard.h(139): message : see reference to class template instantiation 'c10::impl::InlineOptionalStreamGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::InlineStreamGuard ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/impl/InlineStreamGuard.h(231): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/core/StreamGuard.h(162): message : see reference to class template instantiation 'c10::impl::InlineMultiStreamGuard' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::VirtualGuardImpl ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector,std::allocator>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/ivalue_inl.h(362): message : see reference to class template instantiation 'c10::optional,std::allocator>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector,std::allocator>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::OperatorName ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/record_function.h(306): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::OperatorName ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::DimVector ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/TensorIterator.h(616): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::DimVector ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::autograd::ViewInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/variable.h(529): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::autograd::ViewInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::IValue ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/function_schema.h(115): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::IValue ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::AliasInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/function_schema.h(118): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::AliasInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/frontend/source_range.h(146): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::SourceRange ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/frontend/source_range.h(169): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::SourceRange ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/scope.h(121): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::InlinedCallStackPtr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/scope.h(125): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ModuleInstanceInfo ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::ScopePtr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/ir/constants.h(29): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::ScopePtr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::AnnotatedSchema ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/dispatch/OperatorEntry.h(182): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::AnnotatedSchema ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/dispatch/OperatorEntry.h(234): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::impl::OperatorEntry::CppSignatureWithDebug ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=c10::either ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\ATen/core/op_registration/op_registration.h(434): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=c10::either ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=at::ThreadLocalState ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/runtime/interpreter.h(141): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=at::ThreadLocalState ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::shared_ptr ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/function_impl.h(124): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::shared_ptr ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::jit::Method ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/object.h(41): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::jit::Method ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/jit/api/module.h(295): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/options/loss.h(404): message : see reference to class template instantiation 'c10::optional' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=torch::nn::TripletMarginWithDistanceLossOptions::distance_function_t ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/options/upsampling.h(26): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::tuple ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/nn/modules/rnn.h(157): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::tuple ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::function ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/profiler_legacy.h(514): message : see reference to class template instantiation 'c10::optional>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::function ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector>,std::allocator>>> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>,std::allocator>>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch/csrc/autograd/profiler_legacy.h(588): message : see reference to class template instantiation 'c10::optional>,std::allocator>>>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector>,std::allocator>>> ] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(367): message : see reference to class template instantiation 'c10::constexpr_storage_t' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\type_traits(640): message : see reference to class template instantiation 'c10::trivially_copyable_optimization_optional_base' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to class template instantiation 'std::is_copy_constructible>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] with [ T=std::vector> ] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(427): message : see reference to alias template instantiation 'c10::OptionalBase>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\torch\csrc\api\include\torch/optim/lbfgs.h(47): message : see reference to class template instantiation 'c10::optional>>' being compiled [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] with [ T=std::vector> ] 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-4291\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-4291/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4291/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-4291/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib and object C:/Jenkins/workspace/dgl_PR-4291/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.exp tensoradapter_pytorch_1.9.0.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll FinalizeBuildStatus: Deleting file "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.0405299A.tlog\unsuccessfulbuild". Touching "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.0405299A.tlog\tensoradapter_pytorch_1.9.0.lastbuildstate". 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default target) (4) -> (ClCompile target) -> 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 12>C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] 70 Warning(s) 0 Error(s) Time Elapsed 00:00:10.16 Release\tensoradapter_pytorch_1.9.0.dll 1 file(s) copied. Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.D5E0A634.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.D5E0A634.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj.metaproj" (default targets). 16>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4291\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: 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-4291\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-4291\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-4291\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 13>Lib: gtest.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\build\lib\Release\gtest.lib FinalizeBuildStatus: Deleting file "gtest.dir\Release\gtest.tlog\unsuccessfulbuild". Touching "gtest.dir\Release\gtest.tlog\gtest.lastbuildstate". 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). 14>Lib: gmock_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\build\lib\Release\gmock_main.lib 15>Lib: gmock.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\build\lib\Release\gmock.lib 16>Lib: dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\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". 15>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock.vcxproj" (default targets). 16>FinalizeBuildStatus: Deleting file "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild". Touching "dmlc.dir\Release\dmlc.tlog\dmlc.lastbuildstate". 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 14>FinalizeBuildStatus: Deleting file "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild". Touching "gmock_main.dir\Release\gmock_main.tlog\gmock_main.lastbuildstate". 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) is building "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest_main.vcxproj" (17) on node 1 (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. 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj" (18) on node 4 (default targets). 18>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4291\build\Release\". Creating directory "dgl.dir\Release\dgl.tlog\". InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/CMakeLists.txt 17>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest/googletest/CMakeLists.txt 18>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\array.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\array_arith.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_cumsum.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_index_select.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_nonzero.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_pack.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_repeat.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_scatter.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_sort.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_coalesce.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_linegraph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_sort.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_get_data.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_mm.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sort.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sum.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_union.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\disjoint_union.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\gather_mm.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\negative_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_topk.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\sddmm.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\segment_reduce.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmm.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\filter.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\kernel.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\array\uvm_array.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\bcast.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\c_api_common.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\dataloading\async_transferer.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\geometry\cpu\geometry_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\geometry\geometry.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\partition\ndarray_partition.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\random\random.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\c_object_api.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\c_runtime_api.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\cpu_device_api.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\dso_module.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\file_util.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\module.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\module_util.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\ndarray.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\object.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\registry.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\resource_manager.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\tcp_socket.cc" 17>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-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\src\gtest_main.cc" gtest_main.cc 18>ClCompile: array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc filter.cc 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-4291\build\lib\Release\gtest_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 gtest_main.dir\Release\gtest_main.obj gtest_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\build\lib\Release\gtest_main.lib 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-4291\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). 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-4291\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] kernel.cc libra_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_union.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-4291\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] uvm_array.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-4291\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] async_transferer.cc geometry_op_impl.cc geometry.cc ndarray_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 (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\negative_sampling.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-4291\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] cpu_device_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-4291\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array_arith.cc) dso_module.cc C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] file_util.cc 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-4291\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] module_util.cc 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-4291\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.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-4291\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc(62): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc(89): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::COORemoveShuffled(dgl::aten::COOMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\coo_remove.cc(101): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COORemove(dgl::aten::COOMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc(63): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc(94): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::CSRRemoveShuffled(dgl::aten::CSRMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_remove.cc(106): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRRemove(dgl::aten::CSRMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc(298): message : see reference to function template instantiation 'void std::fill(const _FwdIt,const _FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc(306): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::CSRToCOO(dgl::aten::CSRMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] resource_manager.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-4291\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(684): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(706): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COOSliceRows(dgl::aten::COOMatrix,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\array_utils.h(38): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc(477): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc(525): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRSliceMatrix(dgl::aten::CSRMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(383): message : see reference to function template instantiation 'void std::iota(_FwdIt,_FwdIt,_Ty)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(632): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::`anonymous-namespace'::SortedCOOToCSR(const dgl::aten::COOMatrix &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(635): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmat_op_impl_coo.cc(256): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_coo.cc(256): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_coo.cc(290): message : see reference to function template instantiation 'std::vector> dgl::aten::impl::COOGetDataAndIndices(dgl::aten::COOMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] semaphore_wrapper.cc shared_mem.cc system_lib_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-4291\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] tensordispatch.cc thread_pool.cc threading_backend.cc utils.cc workspace_pool.cc api_container.cc 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] api_test.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-4291\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\geometry.cc) creators.cc C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] gk_ops.cc graph.cc 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%f' requires an argument of type 'double', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(316): 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-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(283,10): 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-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(283,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(290,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(290,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(290,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(290,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(295,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(295,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(295,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(295,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] graph_apis.cc graph_op.cc 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'IdType' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(316): 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-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'IdType' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(286,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type '_Ty' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(286,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(286,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(286,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] graph_traversal.cc heterograph.cc heterograph_capi.cc immutable_graph.cc 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 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\sample_utils.h(267): message : see reference to function template instantiation 'void std::fill>>,int>(const _FwdIt,const _FwdIt,const int &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _Ty=ValueType, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\sample_utils.h(264): message : while compiling class template member function 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\sample_utils.h(281): message : see reference to function template instantiation 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc(42): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc(51): message : see reference to function template instantiation 'void dgl::RandomEngine::Choice(int64_t,dgl::FloatArray,int64_t *,bool)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] metis_partition.cc network.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(75): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(77): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(76): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(78): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] pickle.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-4291\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] sampler.cc global_uniform.cc neighbor.cc get_node_types_cpu.cc node2vec.cc node2vec_cpu.cc randomwalk_cpu.cc randomwalk_with_restart_cpu.cc randomwalks.cc dglgraph_serialize.cc graph_serialize.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-4291\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl/aten/coo.h(225): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] heterograph_serialize.cc tensor_serialize.cc zerocopy_serializer.cc shared_mem_manager.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-4291\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] subgraph.cc compact.cc line_graph.cc metis_partition_hetero.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-4291\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] partition_hetero.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-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] to_bipartite.cc to_simple.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-4291\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc(507): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph.cc(410): message : see reference to function template instantiation 'dgl::FlattenedHeteroGraphPtr dgl::HeteroGraph::FlattenImpl(const std::vector> &) const' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] scheduler.cc 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-4291\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1693): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1925): message : see reference to function template instantiation 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1842): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\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-4291\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_randomwalk.h(45): message : see reference to function template instantiation 'bool std::binary_search(_FwdIt,_FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_randomwalk.h(109): message : see reference to function template instantiation 'bool dgl::sampling::impl::`anonymous-namespace'::has_edge_between(const dgl::aten::CSRMatrix &,dgl::dgl_id_t,dgl::dgl_id_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_randomwalk.h(163): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::`anonymous-namespace'::Node2vecRandomWalkStep(IdxType *,dgl::dgl_id_t,dgl::dgl_id_t,const double,const double,int64_t,const dgl::aten::CSRMatrix &,bool,const dgl::FloatArray &,std::function)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc(45): message : see reference to function template instantiation 'std::pair dgl::sampling::impl::Node2vec(const dgl::HeteroGraphPtr,const dgl::IdArray,const double,const double,const int64_t,const dgl::FloatArray &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) common.cc msg_queue.cc socket_communicator.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-4291\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\graph_op.cc(400): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc(61): message : see reference to function template instantiation 'void std::vector,std::allocator>>::emplace_back>(std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc(127): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::SelectPinSageNeighbors(const dgl::IdArray,const dgl::IdArray,const int64_t,const int64_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(803): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl/aten/coo.h(225): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc(63): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc(63): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc(146): message : see reference to function template instantiation 'std::pair>,std::vector>> dgl::transform::`anonymous-namespace'::CompactGraphsCPU(const std::vector> &,const std::vector> &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc(80): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc(74): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\partition_hetero.cc(106): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(57): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\../../array/cpu/array_utils.h(50): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc(80): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc(80): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc(150): message : see reference to function template instantiation 'std::tuple>> dgl::transform::`anonymous-namespace'::ToBlockCPU(dgl::HeteroGraphPtr,const std::vector> &,bool,std::vector> *const )' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] 18>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4291\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-4291/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4291/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-4291\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-4291/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4291/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4291/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\async_transferer.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\cpu_device_api.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-4291/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4291/build/Release/dgl.exp dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4291/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4291/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-4291\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4291\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-4291/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-4291\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4291\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(399): message : see reference to function template instantiation 'void _TestUnitGraph(DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\../../src/random/cpu/sample_utils.h(267): message : see reference to function template instantiation 'void std::fill>>,int>(const _FwdIt,const _FwdIt,const int &)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _Ty=float, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\../../src/random/cpu/sample_utils.h(264): message : while compiling class template member function 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\../../src/random/cpu/sample_utils.h(281): message : see reference to function template instantiation 'void dgl::utils::TreeSampler::ResetState(dgl::FloatArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc(86): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc(99): message : see reference to function template instantiation 'void _TestWithoutReplacementOrder(dgl::RandomEngine *)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4291\include\dgl\./aten/csr.h(217): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4291/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-4291/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4291/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4291\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4291\build\ALL_BUILD.vcxproj" (20) on node 3 (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-4291/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-4291\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(183,1): warning C4624: 'c10::constexpr_storage_t': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] C:\Program Files\Python36\Lib\site-packages\torch\include\c10/util/Optional.h(395,1): warning C4624: 'c10::trivially_copyable_optimization_optional_base': destructor was implicitly defined as deleted [C:\Jenkins\workspace\dgl_PR-4291\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj] [C:\Jenkins\workspace\dgl_PR-4291\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\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-4291\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-4291\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\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-4291\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(395,16): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%f' requires an argument of type 'double', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(283,10): 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-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(290,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(295,12): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'IdType' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(273,21): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'IdType' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\array\libra_partition.cc(286,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type '_Ty' [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\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-4291\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-4291\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4291\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4291\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4291\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-4291\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4291\build\runUnitTests.vcxproj] 288 Warning(s) 0 Error(s) Time Elapsed 00:01:02.92 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4291\python\build Obtaining file:///C:/Jenkins/workspace/dgl_PR-4291/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==0.9) (1.19.5) Requirement already satisfied: scipy>=1.1.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (1.2.0) Requirement already satisfied: networkx>=2.1 in c:\program files\python36\lib\site-packages (from dgl==0.9) (2.2) Requirement already satisfied: requests>=2.19.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (2.24.0) Requirement already satisfied: tqdm in c:\program files\python36\lib\site-packages (from dgl==0.9) (4.58.0) Collecting psutil>=5.8.0 Using cached psutil-5.9.1-cp36-cp36m-win_amd64.whl (248 kB) Requirement already satisfied: decorator>=4.3.0 in c:\program files\python36\lib\site-packages (from networkx>=2.1->dgl==0.9) (4.4.2) Requirement already satisfied: certifi>=2017.4.17 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.9) (2020.6.20) Requirement already satisfied: idna<3,>=2.5 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.9) (2.10) Requirement already satisfied: chardet<4,>=3.0.2 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.9) (3.0.4) 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==0.9) (1.25.10) Installing collected packages: psutil, dgl Running setup.py develop for dgl Successfully installed dgl psutil-5.9.1 [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-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 Merge succeeded, producing e46265462c6aefb5a70a4859510a41cdc22b264c Checking out Revision e46265462c6aefb5a70a4859510a41cdc22b264c (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f e46265462c6aefb5a70a4859510a41cdc22b264c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 e46265462c6aefb5a70a4859510a41cdc22b264c # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-cpu:cu101_v220629 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] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat $ docker top f1b3706a6c5b29ec427ad37f5d390ed2e4d50187c7f9dd5c0afb06c62a24bc5a -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 python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@567a2f89; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing d00da619e5a79cc0ea454ec8876a2ab883db5c8e Checking out Revision d00da619e5a79cc0ea454ec8876a2ab883db5c8e (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d00da619e5a79cc0ea454ec8876a2ab883db5c8e # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 d00da619e5a79cc0ea454ec8876a2ab883db5c8e # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/build ~/jenkins/workspace/dgl_PR-4291 -- 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 -- 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-4291/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 -- 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 -Wall -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 -Wall -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-4291/build Scanning dependencies of target libxsmm Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target dmlc Scanning dependencies of target gtest [ 2%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 2%] Building CXX object 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object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 43%] 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/transport/uv/sockaddr.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.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/channel/xth/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 53%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 53%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 54%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ~~~^~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ~~~^~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ [ 54%] Linking C static library libmetis.a In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ [ 54%] Built target metis In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < uuid.size(); i++) { ~~^~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function 'tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] } else if (nread != length) { ~~~~~~^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of 'ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of 'ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:33: required from 'void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:33: required from 'void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch -- Looking for pthread.h /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { ~~~~~~~~~~^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable 'op' [-Wunused-variable] ReadOperation& op = *opIter; ^~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from 'tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ~~~^~~~~~~~~~~~~~ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from 'tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ~~~^~~~~~~~~~~~~~ CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/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/python3.6/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.6/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-4291/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 /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from 'tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from 'tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; ^~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from 'tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from 'tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]' /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ ================================================================================ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ LIBXSMM master-1.16.1-1534 (Linux@f1b3706a6c5b) -------------------------------------------------------------------------------- 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 /usr/bin/ar: creating lib/libxsmmnoblas.a /usr/bin/ar: creating lib/libxsmmgen.a [ 54%] Linking CXX static library ../../../lib/libgtest.a [ 54%] Built target gtest Scanning dependencies of target gtest_main Scanning dependencies of target gmock [ 54%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 55%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o [ 55%] Linking CXX static library ../../../lib/libgtest_main.a [ 55%] Built target gtest_main [ 55%] Linking CXX static library libtensorpipe.a [ 55%] Built target tensorpipe /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@f1b3706a6c5b) -------------------------------------------------------------------------------- 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! -------------------------------------------------------------------------------- [ 55%] Built target libxsmm [ 55%] Linking CXX static library ../../../lib/libgmock.a [ 55%] Built target gmock Scanning dependencies of target gmock_main [ 55%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o [ 55%] Linking CXX static library ../../../lib/libgmock_main.a [ 55%] Linking CXX static library libdmlc.a [ 55%] Built target gmock_main [ 55%] Built target dmlc [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-4291/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 55%] Built target tensoradapter_pytorch Scanning dependencies of target dgl [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/array.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 [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 58%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 82%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.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/transform/to_simple.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/common.cc: In function 'void dgl::network::StringAppendV(std::__cxx11::string*, const char*, __va_list_tag*)': /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ~~~~~~~^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4291/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4291/include/dgl/runtime/packed_func.h:502:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc: In function 'void dgl::aten::Edge_softmax_forward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)': /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc:331:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc: In function 'void dgl::aten::Edge_softmax_backward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)': /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc:353:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4291/src/graph/serialize/zerocopy_serializer.cc:24:34: warning: deleting 'void*' is undefined [-Wdelete-incomplete] delete[] ctx->tensor.dl_tensor.data; ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc: In instantiation of 'std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < num_ntypes; ++i) { ~~^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc: In instantiation of 'std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc:764:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t eid = 0; eid < metagraph->NumEdges(); ++eid) { ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc:774:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t nid = 0; nid < metagraph->NumVertices(); ++nid) { ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(probability->shape[0] == gptr->NumEdges()) ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(probability->shape[0] == gptr->NumEdges()) ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291/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-4291/src/graph/sampler.cc:1189:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:1193:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:40:95: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indptr = gk_csr->rowptr = gk_zmalloc(gk_csr->nrows+1, "gk_csr_ExtractPartition: rowptr"); ^ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:41:84: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indices = gk_csr->rowind = gk_imalloc(nnz, "gk_csr_ExtractPartition: rowind"); ^ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:44:95: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indptr = gk_csr->colptr = gk_zmalloc(gk_csr->ncols+1, "gk_csr_ExtractPartition: colptr"); ^ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:45:84: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indices = gk_csr->colind = gk_imalloc(nnz, "gk_csr_ExtractPartition: colind"); ^ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = int; IdType2 = int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 3 has type 'int' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 4 has type 'int' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:286:12: warning: format '%ld' expects argument of type 'long int', but argument 3 has type '__gnu_cxx::__alloc_traits >::value_type {aka int}' [-Wformat=] fprintf(fp, "%ld\n", replication_list[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = long int; IdType2 = int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:286:12: warning: format '%ld' expects argument of type 'long int', but argument 3 has type '__gnu_cxx::__alloc_traits >::value_type {aka int}' [-Wformat=] fprintf(fp, "%ld\n", replication_list[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = int; IdType2 = long int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 3 has type 'int' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 4 has type 'int' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = long int; IdType2 = long int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291/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-4291/src/array/libra_partition.cc:395:11: 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-4291/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-4291/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:325:11: warning: unused variable 'message_size' [-Wunused-variable] int64_t message_size = args[0]; ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:485:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (p_id == local_machine_id) { ~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:500:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < remote_ids.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291@2 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github 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-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing c68a2560ffb95193fcff04d29b4f525235a7afaa Checking out Revision c68a2560ffb95193fcff04d29b4f525235a7afaa (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f c68a2560ffb95193fcff04d29b4f525235a7afaa # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 c68a2560ffb95193fcff04d29b4f525235a7afaa # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220629 > git clean -fdx # timeout=10 cu101_v220629: Pulling from dgllib/dgl-ci-gpu Digest: sha256:55b598f5ea8f26ea0286265bc3ce4521d2cc6eaeecaf2b28d16de7807b23dac2 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220629 docker.io/dgllib/dgl-ci-gpu:cu101_v220629 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [ 92%] Linking CXX shared library libdgl.so [ 92%] Built target dgl Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client [ 92%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 92%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4291/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4291/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ [ 97%] Linking CXX executable rpc_server [ 98%] Linking CXX executable rpc_client [ 98%] Built target rpc_server [ 98%] Built target rpc_client + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220629 . [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-4291@2 -v /root/jenkins/workspace/dgl_PR-4291@2:/root/jenkins/workspace/dgl_PR-4291@2:rw,z -v /root/jenkins/workspace/dgl_PR-4291@2@tmp:/root/jenkins/workspace/dgl_PR-4291@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220629 cat $ docker top 447689bbc2eca304d138a613cbb458d2e5efcb79f7ee2987590948b542c220e0 -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 python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@260d1f42; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 0b2d6cea77d12f5974735b08575be6dabdc959ff Checking out Revision 0b2d6cea77d12f5974735b08575be6dabdc959ff (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0b2d6cea77d12f5974735b08575be6dabdc959ff # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 0b2d6cea77d12f5974735b08575be6dabdc959ff # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291@2/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/dmlc-core'... [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4291 ~/jenkins/workspace/dgl_PR-4291/python ~/jenkins/workspace/dgl_PR-4291 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-4291@2/third_party/googletest'... [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_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/libxsmm'... g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 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 f2py3.6 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.6/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.6/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-4291/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_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 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 f2py3.6 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/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/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.6/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/nanoflann'... [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe'... g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.6/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/thrust'... 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_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm'... g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/xbyak'... Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/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/python3.6/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 f2py3.6 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/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/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.6/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) 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-4291@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ 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-4291@2/third_party/tensorpipe/third_party/googletest'... g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.6/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4291 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 654M -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 2 root root 4.0K May 31 11:55 audit drwxr-xr-x 2 root root 4.0K Jun 29 02:31 avahi drwxr-xr-x 2 root root 4.0K May 31 11:54 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Jun 29 02:31 dri drwxr-xr-x 2 root root 4.0K Jun 29 02:30 engines-1.1 drwxr-xr-x 2 root root 12K May 31 11:55 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Jun 29 02:31 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Jun 29 02:30 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Jun 29 02:30 gio drwxr-xr-x 2 root root 4.0K Jun 29 02:31 girepository-1.0 drwxr-xr-x 3 root root 4.0K Jun 29 02:31 glib-2.0 drwxr-xr-x 2 root root 4.0K Jun 29 02:31 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Jun 29 02:31 gtk-2.0 drwxr-xr-x 3 root root 4.0K Jun 29 02:31 gtk-3.0 drwxr-xr-x 2 root root 4.0K Jun 29 02:31 hwloc drwxr-xr-x 3 root root 4.0K Jun 29 02:31 icu drwxr-xr-x 3 root root 4.0K Jun 29 02:30 krb5 drwxr-xr-x 2 root root 4.0K Jun 29 02:30 ldscripts -rw-r--r-- 1 root root 2.0K May 3 10:19 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 10:19 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Feb 28 2017 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Feb 28 2017 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Jun 29 02:31 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Jun 29 02:31 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Jun 29 02:31 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M Jun 14 11:37 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 12:28 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 12:28 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 May 10 11:49 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 May 10 11:49 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 May 10 11:49 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 May 10 11:49 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Oct 20 2020 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Oct 20 2020 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Jun 29 02:31 libgphoto2 drwxr-xr-x 3 root root 4.0K Jun 29 02:31 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 Jun 29 02:31 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 Jun 29 02:31 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 Jun 29 02:31 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 Jun 29 02:31 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Jun 29 02:31 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Jun 29 02:31 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 12:56 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 12:56 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M May 3 10:19 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 10:19 libm.a -rw-r--r-- 1 root root 186 May 3 10:19 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K May 3 10:19 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 10:19 libmvec.a lrwxrwxrwx 1 root root 34 May 3 10:19 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 10:19 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Apr 26 14:09 libmysqlclient.so.20 -> libmysqlclient.so.20.3.25 -rw-r--r-- 1 root root 3.7M Apr 26 14:09 libmysqlclient.so.20.3.25 -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M May 10 11:49 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K May 10 11:49 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 Jun 29 02:31 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Mar 18 13:21 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Mar 18 13:21 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 20:04 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 20:04 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 20:53 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 20:53 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 177K May 10 11:49 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K Jun 14 11:37 libssl.so.1.1 -rw-r--r-- 1 root root 321K May 10 11:49 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Dec 3 2021 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 106K Dec 3 2021 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M May 10 14:18 libxml2.a lrwxrwxrwx 1 root root 16 May 10 14:18 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 May 10 14:18 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M May 10 14:18 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 18:21 libz.a lrwxrwxrwx 1 root root 36 Mar 26 18:21 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 Jun 29 02:31 nss drwxr-xr-x 2 root root 4.0K Jun 29 02:31 odbc drwxr-xr-x 2 root root 4.0K Jun 29 02:31 openblas drwxr-xr-x 3 root root 4.0K Jun 29 02:31 openmpi drwxr-xr-x 1 root root 4.0K Jun 29 02:30 perl drwxr-xr-x 16 root root 4.0K May 31 11:55 perl-base drwxr-xr-x 2 root root 4.0K Jun 29 02:31 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Jun 29 02:31 rsocket drwxr-xr-x 2 root root 4.0K Jun 29 02:31 sasl2 drwxr-xr-x 2 root root 4.0K Jun 29 02:31 vdpau drwxr-xr-x 2 root root 4.0K Jun 29 02:31 x264-10bit -rw-r--r-- 1 root root 204 May 10 14:18 xml2Conf.sh Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/libnop'... [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 Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/libuv'... 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 f1b3706a6c5b29ec427ad37f5d390ed2e4d50187c7f9dd5c0afb06c62a24bc5a Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/pybind11'... $ docker rm -f f1b3706a6c5b29ec427ad37f5d390ed2e4d50187c7f9dd5c0afb06c62a24bc5a [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags 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-4291@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 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-4291@2/third_party/thrust/dependencies/cub'... Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing b8e5d8255fdb1c5b22524c05593dd5f41faad1a8 Checking out Revision b8e5d8255fdb1c5b22524c05593dd5f41faad1a8 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b8e5d8255fdb1c5b22524c05593dd5f41faad1a8 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 b8e5d8255fdb1c5b22524c05593dd5f41faad1a8 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . nvcr.io/nvidia/pytorch:22.04-py3 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@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 ******** nvcr.io/nvidia/pytorch:22.04-py3 cat 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-4291@2/third_party/tvm/3rdparty/dlpack'... $ docker top 1c0a5fd598db6d1aa8931f957a850641f689f195397d8da53f7adc32f8b4e241 -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] sh Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/dmlc-core'... + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS= ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/..1c0a5fd598db.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n '' -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/..1c0a5fd598db.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@6582cb95; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/rang'... > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 Merge succeeded, producing 0bd1f69c9edf1561e7d7e6b7c9356f52b516ebb8 Checking out Revision 0bd1f69c9edf1561e7d7e6b7c9356f52b516ebb8 (PR-4291) Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/vta-hw'... Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0bd1f69c9edf1561e7d7e6b7c9356f52b516ebb8 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 0bd1f69c9edf1561e7d7e6b7c9356f52b516ebb8 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh 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' + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS= ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/..1c0a5fd598db.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n '' -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/..1c0a5fd598db.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + git submodule update --recursive --init Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... [Pipeline] sh + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4291@2/build ~/jenkins/workspace/dgl_PR-4291@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++ Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... -- 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 -- 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. Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... -- 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 -- Build with fp16 to support mixed precision training -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... 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:179 (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:179 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DUSE_FP16,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... -- 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-4291@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 -- Looking for execinfo.h - found -- Looking for getline Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... -- 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 -- 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 -Wall -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wall -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-4291@2/build Scanning dependencies of target libxsmm Scanning dependencies of target nccl_external Scanning dependencies of target tensoradapter_pytorch [ 1%] Creating directories for 'nccl_external' Scanning dependencies of target gtest Scanning dependencies of target dmlc [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 1%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 1%] 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 [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 2%] 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 [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 3%] 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 [ 3%] No download step for 'nccl_external' [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/debug.c.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 6%] Building C object 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Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 31%] No configure step for 'nccl_external' [ 31%] Performing build step for 'nccl_external' -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/include/nccl_net.h -- Check for working C compiler: /usr/bin/cc Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/debug.o -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/misc/utils.o Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/misc/argcheck.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/all_reduce.o -- Detecting C compiler ABI info - done Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/reduce_scatter.o -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/paths.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4291@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-4291@2/build/nccl/obj/collectives/device/Makefile.rules [ 32%] Linking C static library libtensorpipe_uv.a [ 32%] Built target tensorpipe_uv -- Detecting CXX compiler ABI info - done Scanning dependencies of target tensorpipe -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 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/common/fd.cc.o [ 32%] Building CXX object 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third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.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/ibv/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.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/common/ibv.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ~~~^~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ~~~^~~~~~~~ [ 46%] Linking C static library libmetis.a In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ [ 46%] Built target metis In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < uuid.size(); i++) { ~~^~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function 'tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] } else if (nread != length) { ~~~~~~^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of 'ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from 'tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ~~~^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from 'tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ~~~^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of 'ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from 'tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from 'tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; ^~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of 'void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from 'tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from 'tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = 0]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:33: required from 'void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:33: required from 'void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { ~~~~~~~~~~^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o -- Looking for pthread.h Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_i8.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable 'op' [-Wunused-variable] ReadOperation& op = *opIter; ^~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_f32.o -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_u8.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_u32.o -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_i64.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_f16.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_f32.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_min_f64.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of 'TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]': /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:33: required from 'void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]' /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro 'unlikely' #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) ^ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro '__TP_DCHECK_CMP' #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro '_TP_DCHECK_CMP' #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_i8.o -- 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 Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_f16.o -- 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/python3.6/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/python3.6/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, Fd& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: 'void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)' defined but not used [-Wunused-function] void loadOneFdFromArray(int& src, int& dst) { ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const Fd& src) { ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: 'void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)' defined but not used [-Wunused-function] void saveOneFdToArray(int& dst, const int& src) { ^~~~~~~~~~~~~~~~ -- 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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/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/python3.6/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4291@2/tensoradapter/pytorch/build Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Scanning dependencies of target tensoradapter_pytorch_1.9.0 Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o [ 48%] Linking CXX static library ../../../lib/libgtest.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o [ 48%] Built target gtest Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Scanning dependencies of target gtest_main Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o Scanning dependencies of target gmock [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o [ 48%] Linking CXX static library ../../../lib/libgtest_main.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o [ 48%] Built target gtest_main Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/onerank_reduce.o ================================================================================ [ 49%] Linking CXX static library ../../../lib/libgmock.a LIBXSMM master-1.16.1-1534 (Linux@447689bbc2ec) -------------------------------------------------------------------------------- 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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o [ 49%] Built target gmock Scanning dependencies of target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o [ 49%] Linking CXX static library libtensorpipe.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o [ 49%] Built target tensorpipe Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o [ 49%] Linking CXX static library ../../../lib/libgmock_main.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o [ 49%] Built target gmock_main [ 49%] Linking CXX static library libdmlc.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_u64.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_f16.o [ 49%] Built target dmlc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_i32.o [100%] Built target tensoradapter_pytorch_1.9.0 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_u32.o 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4291@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 49%] Built target tensoradapter_pytorch Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/xbyak'... Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o 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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' /usr/bin/ar: creating lib/libxsmm.a Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' /usr/bin/ar: creating lib/libxsmmext.a 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-4291/third_party/tensorpipe/third_party/googletest'... ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@447689bbc2ec) -------------------------------------------------------------------------------- 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 Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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 + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS= ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/..1c0a5fd598db.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n '' -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/..1c0a5fd598db.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + bash tests/scripts/build_dgl.sh cugraph ~/jenkins/workspace/dgl_PR-4291/build ~/jenkins/workspace/dgl_PR-4291 -- The C compiler identification is GNU 9.4.0 -- The CXX compiler identification is GNU 9.4.0 -- 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 -- 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 -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.6") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/usr/local/cuda/lib64/libcublas.so -- Found CUDA_CURAND_LIBRARY=/usr/local/cuda/lib64/libcurand.so -- Performing Test SUPPORT_CXX14 -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. -- Found OpenMP_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 -- Build with fp16 to support mixed precision training -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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:179 (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:179 (dgl_config_cuda) -- CUDA flags: -Xcompiler ,-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DUSE_FP16,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_80,code=sm_80;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- 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-4291/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 -- 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 -Wall -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wall -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 "3.8.13") -- Building dist/rpc tests -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4291/build [ 0%] Creating directories for 'nccl_external' [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.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/io/indexed_recordio_split.cc.o [ 2%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 2%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 2%] Building CXX object 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-- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4291/build/nccl/include/nccl_net.h Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4291/build/nccl/include/nccl.h -- Detecting CXX compiler ABI info - done [ 32%] Linking C static library libtensorpipe_uv.a -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/bin/python3 Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4291/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/init.o [ 32%] Built target tensorpipe_uv Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/channel.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 32%] Building CXX object 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Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 44%] 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/ibv/error.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 45%] 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/reactor.cc.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/utility.cc.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/group.o /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | if (rv != count) { | ~~~^~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | if (rv != count) { | ~~~^~~~~~~~ Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/misc/nvmlwrap.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/misc/utils.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/misc/argcheck.o [ 46%] Linking C static library libmetis.a In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/p2p.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const string&)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function ‘tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison of integer expressions of different signedness: ‘ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | } else if (nread != length) { | ~~~~~~^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 270 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 46%] Built target metis Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/shm.o /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 248 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/net_socket.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/net_ib.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/transport/coll_net.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 35 | for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/sendrecv.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from include/core.h:57, 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] 135 | cudaCooperativeLaunchMultiDeviceNoPreSync|cudaCooperativeLaunchMultiDeviceNoPostSync)); | ^ include/checks.h:14:23: note: in definition of macro ‘CUDACHECK’ 14 | cudaError_t err = cmd; \ | ^~~ In file included from /usr/local/cuda/include/channel_descriptor.h:61, from /usr/local/cuda/include/cuda_runtime.h:95, from /root/jenkins/workspace/dgl_PR-4291/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:4202:57: note: declared here 4202 | extern __CUDA_DEPRECATED __host__ cudaError_t CUDARTAPI cudaLaunchCooperativeKernelMultiDevice(struct cudaLaunchParams *launchParamsList, unsigned int numDevices, unsigned int flags __dv(0)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from include/core.h:57, from include/transport.h:13, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: enqueue.cc:135:97: warning: ‘cudaError_t cudaLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, unsigned int, unsigned int)’ is deprecated [-Wdeprecated-declarations] 135 | cudaCooperativeLaunchMultiDeviceNoPreSync|cudaCooperativeLaunchMultiDeviceNoPostSync)); | ^ include/checks.h:14:23: note: in definition of macro ‘CUDACHECK’ 14 | cudaError_t err = cmd; \ | ^~~ In file included from /usr/local/cuda/include/channel_descriptor.h:61, from /usr/local/cuda/include/cuda_runtime.h:95, from /root/jenkins/workspace/dgl_PR-4291/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:4202:57: note: declared here 4202 | extern __CUDA_DEPRECATED __host__ cudaError_t CUDARTAPI cudaLaunchCooperativeKernelMultiDevice(struct cudaLaunchParams *launchParamsList, unsigned int numDevices, unsigned int flags __dv(0)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/all_gather.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 107 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/broadcast.o /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function ‘void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable ‘op’ [-Wunused-variable] 869 | ReadOperation& op = *opIter; | ^~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/reduce.o /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable ‘dummy’ [-Wunused-variable] 58 | auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; | ^~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable ‘dummy’ [-Wunused-variable] 41 | auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; | ^~~~~ Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/topo.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/paths.o -- find_cmake.py output: /opt/conda/lib/python3.8/site-packages/torch/share/cmake;1.12.0a0 -- Configuring for PyTorch 1.12.0a0 -- Setting directory to /opt/conda/lib/python3.8/site-packages/torch/share/cmake/Torch In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ -- Looking for pthread.h /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/search.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]’: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(tensorpipe::OpsStateMachine::Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]’ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:234:34: note: in expansion of macro ‘__TP_DCHECK_CMP’ 234 | #define _TP_DCHECK_CMP(a, b, op) __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/rings.o -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/tuning.o -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/graph/xml.o In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.6") In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Generating rules > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/Makefile.rules nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). -- The CUDA compiler identification is NVIDIA 11.6.124 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Caffe2: CUDA detected: 11.6 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 11.6 -- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so -- Found cuDNN: v8.4.0 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) -- /usr/local/cuda/lib64/libnvrtc.so shorthash is 4dd39364 CMake Warning at /opt/conda/lib/python3.8/site-packages/torch/share/cmake/Caffe2/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): /opt/conda/lib/python3.8/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:434 (torch_cuda_get_nvcc_gencode_flag) /opt/conda/lib/python3.8/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/lib/python3.8/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) -- Added CUDA NVCC flags for: -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_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_86,code=compute_86 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sum_i8.o CMake Warning at /opt/conda/lib/python3.8/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/lib/python3.8/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/lib/python3.8/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/lib/python3.8/site-packages/torch/include;/opt/conda/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.12.0a0 -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4291/tensoradapter/pytorch/build Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.12.0a0.dir/torch.cpp.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_min_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_max_bf16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o [ 48%] Linking CXX static library ../../../lib/libgtest.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Built target gtest Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 48%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_prod_i32.o ================================================================================ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). LIBXSMM master-1.16.1-1534 (Linux@1c0a5fd598db) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 9.4.0, and g++ 9.4.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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_main.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o [ 48%] Built target gtest_main Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_u32.o /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_min_bf16.o [ 49%] Built target gmock nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_max_i8.o [ 49%] Linking CXX static library libtensorpipe.a [ 49%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_max_i32.o [ 49%] Built target tensorpipe Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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 nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_max_f64.o [ 49%] Built target gmock_main Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_max_bf16.o [ 49%] Built target dmlc nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_sum_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [100%] Linking CXX shared library libtensoradapter_pytorch_1.12.0a0.so nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [100%] Built target tensoradapter_pytorch_1.12.0a0 'libtensoradapter_pytorch_1.12.0a0.so' -> '/root/jenkins/workspace/dgl_PR-4291/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0a0.so' Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_prod_u64.o [ 49%] Built target tensoradapter_pytorch nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_i8.o /usr/bin/ar: creating lib/libxsmm.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/bin/ar: creating lib/libxsmmext.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). LIBXSMM master-1.16.1-1534 (Linux@1c0a5fd598db) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 9.4.0, and g++ 9.4.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 49%] Built target libxsmm Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_min_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sum_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_min_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4291/build/nccl/obj/collectives/device/onerank_reduce.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4291@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4291@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_op_impl.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.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_disjoint_union.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.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_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/dgl_generated_rowwise_sampling_prob.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, bits=16]" (416): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cuda/gather_mm.cu(166): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (358): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, bits=16]" (419): here nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' 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-4291/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4291/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4291/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4291/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_index_select.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.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_cuda_filter.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.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/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.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/array/cuda/dgl_generated_csr_get_data.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.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_rowwise_sampling.cu.o [ 56%] 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_coo2csr.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Scanning dependencies of target dgl [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_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/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/array_sort.cc.o [ 63%] Building CXX object 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83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/network/common.cc: In function 'void dgl::network::StringAppendV(std::__cxx11::string*, const char*, __va_list_tag*)': /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ~~~~~~~^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4291@2/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/gk_ops.cc:40:95: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indptr = gk_csr->rowptr = gk_zmalloc(gk_csr->nrows+1, "gk_csr_ExtractPartition: rowptr"); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/gk_ops.cc:41:84: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indices = gk_csr->rowind = gk_imalloc(nnz, "gk_csr_ExtractPartition: rowind"); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/gk_ops.cc:44:95: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indptr = gk_csr->colptr = gk_zmalloc(gk_csr->ncols+1, "gk_csr_ExtractPartition: colptr"); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/gk_ops.cc:45:84: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] gk_indices = gk_csr->colind = gk_imalloc(nnz, "gk_csr_ExtractPartition: colind"); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/serialize/zerocopy_serializer.cc:24:34: warning: deleting 'void*' is undefined [-Wdelete-incomplete] delete[] ctx->tensor.dl_tensor.data; ^~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4291@2/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/runtime/packed_func.h:502:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc: In instantiation of 'std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < num_ntypes; ++i) { ~~^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc: In instantiation of 'std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4291@2/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291@2/src/graph/heterograph_capi.cc:764:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t eid = 0; eid < metagraph->NumEdges(); ++eid) { ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/heterograph_capi.cc:774:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64_t nid = 0; nid < metagraph->NumVertices(); ++nid) { ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/kernel.cc: In function 'void dgl::aten::Edge_softmax_forward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)': /root/jenkins/workspace/dgl_PR-4291@2/src/array/kernel.cc:331:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/kernel.cc: In function 'void dgl::aten::Edge_softmax_backward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)': /root/jenkins/workspace/dgl_PR-4291@2/src/array/kernel.cc:353:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc: In instantiation of 'dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double):: [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; size_t = long unsigned int]': /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:432:21: required from 'struct dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]::' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:405:28: required from 'void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = (DLDeviceType)1; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]' /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:416:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:422:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:429:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/transform/cpu/knn.cc:435:54: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (local_neighbor_idx % num_threads == tid) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = int; IdType2 = int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 3 has type 'int' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 4 has type 'int' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:286:12: warning: format '%ld' expects argument of type 'long int', but argument 3 has type '__gnu_cxx::__alloc_traits >::value_type {aka int}' [-Wformat=] fprintf(fp, "%ld\n", replication_list[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = long int; IdType2 = int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:286:12: warning: format '%ld' expects argument of type 'long int', but argument 3 has type '__gnu_cxx::__alloc_traits >::value_type {aka int}' [-Wformat=] fprintf(fp, "%ld\n", replication_list[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = int; IdType2 = long int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 3 has type 'int' [-Wformat=] fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%ld' expects argument of type 'long int', but argument 4 has type 'int' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc: In instantiation of '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 string&) [with IdType = long int; IdType2 = long int; int32_t = int; int64_t = long int; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/libra_partition.cc:273:16: warning: format '%f' expects argument of type 'double', but argument 5 has type 'int64_t {aka long int}' [-Wformat=] In file included from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:938:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(probability->shape[0] == gptr->NumEdges()) ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:938:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(probability->shape[0] == gptr->NumEdges()) ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/rpc.cc:325:11: warning: unused variable 'message_size' [-Wunused-variable] int64_t message_size = args[0]; ^~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4291@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291@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-4291@2/src/graph/sampler.cc:1189:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/graph/sampler.cc:1193:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/rpc.cc:485:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (p_id == local_machine_id) { ~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/rpc.cc:500:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < remote_ids.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:32:17: warning: unused variable 'argX' [-Wunused-variable] IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:33:17: warning: unused variable 'argW' [-Wunused-variable] IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 32; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@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-4291@2/src/array/libra_partition.cc:395:11: 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-4291@2/src/array/cpu/spmm.cc: In instantiation of 'void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 64; std::__cxx11::string = std::__cxx11::basic_string]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:106:18: warning: unused variable 'out_off' [-Wunused-variable] DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); ^ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291@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-4291@2/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Add]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Sub]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Mul]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Div]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h: In instantiation of 'void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]': /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:23:5: required from 'void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::__cxx11::string = std::__cxx11::basic_string]' /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:32: warning: unused variable 'lhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291@2/src/array/cpu/./spmm.h:128:57: warning: unused variable 'rhs_dim' [-Wunused-variable] int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; ^~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client [ 95%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 95%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] 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 [ 96%] 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_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_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-4291@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4291@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-4291@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:86:42: required from here /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:87:42: required from here /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:66:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:74:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:195:38: required from here /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:196:38: required from here /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:176:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291@2/tests/cpp/test_partition.cc:184:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { [100%] Linking CXX executable rpc_server [100%] 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-4291@2 ~/jenkins/workspace/dgl_PR-4291@2/python ~/jenkins/workspace/dgl_PR-4291@2 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 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 f2py3.6 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.6/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-4291@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.6/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-4291@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_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 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 f2py3.6 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/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/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.6/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-4291@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.6/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-4291@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_64-3.6 creating build/lib.linux-x86_64-3.6/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.6/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.6/dgl creating build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.6/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.6/dgl/geometry creating build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.6/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.6/dgl/function creating build/lib.linux-x86_64-3.6/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn creating build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.6/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib creating build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.6/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.6/dgl/utils creating build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/dgl/multiprocessing creating build/lib.linux-x86_64-3.6/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim creating build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.6/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/dataloading creating build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading creating build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.6/dgl/backend creating build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.6/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.6/dgl/ops creating build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.6/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.6/dgl/cuda creating build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.6/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.6/dgl/storages creating build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.6/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/sampling creating build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.6/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.6/dgl/data creating build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.6/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.6/dgl/distributed creating build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate creating build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.6/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.6/dgl/transforms creating build/lib.linux-x86_64-3.6/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn creating build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/functional creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/sampling creating build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.6/dgl/contrib/data creating build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/pytorch creating build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/mxnet creating build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn creating build/lib.linux-x86_64-3.6/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/partition creating build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.6/dgl/distgnn/tools creating build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.6/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.6/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.6 creating build/temp.linux-x86_64-3.6/dgl creating build/temp.linux-x86_64-3.6/dgl/_ffi creating build/temp.linux-x86_64-3.6/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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/__init__.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_64-3.6/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.6/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.6/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.6/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.6/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.6/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.6/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.6/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.6/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.6/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.6/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.6/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.6/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.6/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.6/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/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_64-3.6/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.6/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.6/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.6/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.6/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.6/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_64-3.6/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/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_64-3.6/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.6/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.6/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-36.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-36.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-0.9-py3.6-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-0.9-py3.6-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Extracting dgl-0.9-py3.6-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/dgl-0.9-py3.6-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6b/76/a8cb69ed3566877dcbccf408f5f9d6055227ad4fed694e88809fa8506b0b/psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=068935df39055bf27a29824b95c801c7a5130f118b806eee663cad28dca97685 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/psutil-5.9.1-py3.6-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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for networkx==2.5.1 Best match: networkx 2.5.1 Adding networkx 2.5.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/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/python3.6/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 f2py3.6 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.6/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/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for decorator==4.4.2 Best match: decorator 4.4.2 Adding decorator 4.4.2 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.6/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-4291@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) [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/python3.6m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.6/dgl/_ffi/_cython/core.o cc1plus: warning: command line option '-Wstrict-prototypes' is valid for C/ObjC but not for C++ g++ -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_64-3.6/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-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_64-3.6/dgl/_ffi/_cy3/core.cpython-36m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.6/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-4291@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4291@2 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 1.8G -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 1 root root 4.0K May 28 19:15 audit drwxr-xr-x 2 root root 4.0K Jun 28 06:07 avahi drwxr-xr-x 2 root root 4.0K Apr 28 00:03 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Jun 28 06:07 dri drwxr-xr-x 2 root root 4.0K May 23 21:53 engines-1.1 drwxr-xr-x 1 root root 12K May 28 19:15 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Jun 28 06:07 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 gio drwxr-xr-x 2 root root 4.0K Jun 28 06:07 girepository-1.0 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 glib-2.0 drwxr-xr-x 2 root root 4.0K Jun 28 06:07 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Jun 28 06:07 gtk-2.0 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 gtk-3.0 drwxr-xr-x 2 root root 4.0K Jun 28 06:07 hwloc drwxr-xr-x 3 root root 4.0K Jun 28 06:07 icu drwxr-xr-x 3 root root 4.0K Jun 28 06:07 krb5 drwxr-xr-x 2 root root 4.0K May 28 19:15 ldscripts -rw-r--r-- 1 root root 2.0K May 3 10:19 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 10:19 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Feb 28 2017 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Feb 28 2017 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Jun 28 06:07 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Jun 28 06:07 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Jun 28 06:07 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M May 3 17:51 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 lrwxrwxrwx 1 root root 15 Aug 9 2019 libcublas.so -> libcublas.so.10 lrwxrwxrwx 1 root root 23 Aug 9 2019 libcublas.so.10 -> libcublas.so.10.2.1.243 -rw-r--r-- 1 root root 60M Aug 9 2019 libcublas.so.10.2.1.243 lrwxrwxrwx 1 root root 17 Aug 9 2019 libcublasLt.so -> libcublasLt.so.10 lrwxrwxrwx 1 root root 25 Aug 9 2019 libcublasLt.so.10 -> libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 29M Aug 9 2019 libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 32M Aug 9 2019 libcublasLt_static.a -rw-r--r-- 1 root root 72M Aug 9 2019 libcublas_static.a lrwxrwxrwx 1 root root 29 May 28 20:19 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Oct 27 2019 libcudnn.so.7 -> libcudnn.so.7.6.5 -rw-r--r-- 1 root root 409M Oct 27 2019 libcudnn.so.7.6.5 lrwxrwxrwx 1 root root 32 May 28 20:19 libcudnn_static.a -> /etc/alternatives/libcudnn_stlib -rw-r--r-- 1 root root 386M Oct 27 2019 libcudnn_static_v7.a -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 12:28 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 12:28 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 May 10 11:49 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 May 10 11:49 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 May 10 11:49 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 May 10 11:49 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Oct 20 2020 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Oct 20 2020 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 libgphoto2 drwxr-xr-x 3 root root 4.0K Jun 28 06:07 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 Jun 28 06:07 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 Jun 28 06:07 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 Jun 28 06:07 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 Jun 28 06:07 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Jun 28 06:07 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Jun 28 06:07 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 12:56 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 12:56 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M May 3 10:19 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 10:19 libm.a -rw-r--r-- 1 root root 186 May 3 10:19 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K May 3 10:19 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 10:19 libmvec.a lrwxrwxrwx 1 root root 34 May 3 10:19 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 10:19 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Apr 26 14:09 libmysqlclient.so.20 -> libmysqlclient.so.20.3.25 -rw-r--r-- 1 root root 3.7M Apr 26 14:09 libmysqlclient.so.20.3.25 lrwxrwxrwx 1 root root 12 Oct 26 2020 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 16 Oct 26 2020 libnccl.so.2 -> libnccl.so.2.8.3 -rw-r--r-- 1 root root 78M Oct 26 2020 libnccl.so.2.8.3 -rw-r--r-- 1 root root 95M Oct 26 2020 libnccl_static.a -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M May 10 11:49 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K May 10 11:49 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 Jun 28 06:07 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Mar 18 13:21 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Mar 18 13:21 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 20:04 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 20:04 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 20:53 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 20:53 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 177K May 10 11:49 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K May 3 17:51 libssl.so.1.1 -rw-r--r-- 1 root root 321K May 10 11:49 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Dec 3 2021 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 106K Dec 3 2021 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M May 10 14:18 libxml2.a lrwxrwxrwx 1 root root 16 May 10 14:18 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 May 10 14:18 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M May 10 14:18 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 18:21 libz.a lrwxrwxrwx 1 root root 36 Mar 26 18:21 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 Jun 28 06:07 nss drwxr-xr-x 2 root root 4.0K Jun 28 06:07 odbc drwxr-xr-x 2 root root 4.0K Jun 28 06:07 openblas drwxr-xr-x 3 root root 4.0K Jun 28 06:07 openmpi drwxr-xr-x 1 root root 4.0K May 28 19:15 perl drwxr-xr-x 16 root root 4.0K Apr 28 00:03 perl-base drwxr-xr-x 2 root root 4.0K Jun 28 06:07 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Jun 28 06:07 rsocket drwxr-xr-x 2 root root 4.0K May 23 21:53 sasl2 drwxr-xr-x 2 root root 4.0K May 28 19:16 stubs drwxr-xr-x 2 root root 4.0K Jun 28 06:07 vdpau drwxr-xr-x 2 root root 4.0K Jun 28 06:07 x264-10bit -rw-r--r-- 1 root root 204 May 10 14:18 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 447689bbc2eca304d138a613cbb458d2e5efcb79f7ee2987590948b542c220e0 $ docker rm -f 447689bbc2eca304d138a613cbb458d2e5efcb79f7ee2987590948b542c220e0 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 60%] 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_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.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/coo_sort.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 61%] Building CXX object 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[ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.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/partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.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 [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 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 [ 91%] 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/runtime/cuda/cuda_device_api.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc: In function ‘void dgl::aten::Edge_softmax_forward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)’: /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc:331:16: warning: unused variable ‘format’ [-Wunused-variable] 331 | SparseFormat format = graph->SelectFormat(0, CSC_CODE); | ^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc: In function ‘void dgl::aten::Edge_softmax_backward(const string&, dgl::HeteroGraphPtr, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray)’: /root/jenkins/workspace/dgl_PR-4291/src/array/kernel.cc:353:16: warning: unused variable ‘format’ [-Wunused-variable] 353 | SparseFormat format = graph->SelectFormat(0, CSC_CODE); | ^~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/include/dgl/runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.h:11, from /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.cc:7: /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.cc: In member function ‘virtual int64_t dgl::partition::RangePartition::PartSize(int) const’: /root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/include/dmlc/logging.h:248:25: warning: control reaches end of non-void function [-Wreturn-type] 248 | #define LOG_FATAL dmlc::LogMessageFatal(__FILE__, __LINE__) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/include/dmlc/logging.h:254:23: note: in expansion of macro ‘LOG_FATAL’ 254 | #define LOG(severity) LOG_##severity.stream() | ^~~~ /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/macro.h:80:5: note: in expansion of macro ‘LOG’ 80 | LOG(FATAL) << "ID can only be int32 or int64"; \ | ^~~ /root/jenkins/workspace/dgl_PR-4291/src/partition/ndarray_partition.cc:198:5: note: in expansion of macro ‘ATEN_ID_TYPE_SWITCH’ 198 | ATEN_ID_TYPE_SWITCH(range_cpu_->dtype, RangeType, { | ^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc: In function ‘gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)’: /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:40:62: warning: ISO C++ forbids converting a string constant to ‘char*’ [-Wwrite-strings] 40 | gk_indptr = gk_csr->rowptr = gk_zmalloc(gk_csr->nrows+1, "gk_csr_ExtractPartition: rowptr"); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:41:51: warning: ISO C++ forbids converting a string constant to ‘char*’ [-Wwrite-strings] 41 | gk_indices = gk_csr->rowind = gk_imalloc(nnz, "gk_csr_ExtractPartition: rowind"); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:44:62: warning: ISO C++ forbids converting a string constant to ‘char*’ [-Wwrite-strings] 44 | gk_indptr = gk_csr->colptr = gk_zmalloc(gk_csr->ncols+1, "gk_csr_ExtractPartition: colptr"); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/gk_ops.cc:45:51: warning: ISO C++ forbids converting a string constant to ‘char*’ [-Wwrite-strings] 45 | gk_indices = gk_csr->colind = gk_imalloc(nnz, "gk_csr_ExtractPartition: colind"); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/geometry/../c_api_common.h:10, from /root/jenkins/workspace/dgl_PR-4291/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4291/include/dgl/runtime/packed_func.h:502:21: warning: inline function ‘TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]’ used but never defined 502 | inline TObjectRef AsObjectRef() const; | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of ‘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 string&) [with IdType = int; IdType2 = int; int32_t = int; int64_t = long int; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:24: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 3 has type ‘int’ [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~^ ~~~~~~ | | | | long int int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:28: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 4 has type ‘int’ [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~^ ~~~~~~ | | | | long int int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:31: warning: format ‘%f’ expects argument of type ‘double’, but argument 5 has type ‘int64_t’ {aka ‘long int’} [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | | | double | int64_t {aka long int} | %ld /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:286:20: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 3 has type ‘__gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘int’} [-Wformat=] 286 | fprintf(fp, "%ld\n", replication_list[i]); | ~~^ | | | long int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of ‘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 string&) [with IdType = long int; IdType2 = int; int32_t = int; int64_t = long int; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:31: warning: format ‘%f’ expects argument of type ‘double’, but argument 5 has type ‘int64_t’ {aka ‘long int’} [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | | | double | int64_t {aka long int} | %ld /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:286:20: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 3 has type ‘__gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘int’} [-Wformat=] 286 | fprintf(fp, "%ld\n", replication_list[i]); | ~~^ | | | long int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of ‘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 string&) [with IdType = int; IdType2 = long int; int32_t = int; int64_t = long int; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:24: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 3 has type ‘int’ [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~^ ~~~~~~ | | | | long int int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:28: warning: format ‘%ld’ expects argument of type ‘long int’, but argument 4 has type ‘int’ [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~^ ~~~~~~ | | | | long int int | %d /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:31: warning: format ‘%f’ expects argument of type ‘double’, but argument 5 has type ‘int64_t’ {aka ‘long int’} [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | | | double | int64_t {aka long int} | %ld /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc: In instantiation of ‘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 string&) [with IdType = long int; IdType2 = long int; int32_t = int; int64_t = long int; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:273:31: warning: format ‘%f’ expects argument of type ‘double’, but argument 5 has type ‘int64_t’ {aka ‘long int’} [-Wformat=] 273 | fprintf(fp, "%ld,%ld,%f\n", u_ptr[i], v_ptr[i], w_ptr[i]); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | | | double | int64_t {aka long int} | %ld In file included from /root/jenkins/workspace/dgl_PR-4291/include/dgl/array.h:13, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:39: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 938 | CHECK(probability->shape[0] == gptr->NumEdges()) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/macro.h:121:6: note: in definition of macro ‘ATEN_FLOAT_TYPE_SWITCH’ 121 | {__VA_ARGS__} \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:11: note: in expansion of macro ‘CHECK’ 938 | CHECK(probability->shape[0] == gptr->NumEdges()) | ^~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:39: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 938 | CHECK(probability->shape[0] == gptr->NumEdges()) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/macro.h:124:6: note: in definition of macro ‘ATEN_FLOAT_TYPE_SWITCH’ 124 | {__VA_ARGS__} \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:938:11: note: in expansion of macro ‘CHECK’ 938 | CHECK(probability->shape[0] == gptr->NumEdges()) | ^~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/include/dmlc/logging.h:132, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4291/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-4291/src/graph/sampler.cc:1189:48: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1189 | assert(prev_neg_offset + neg_sample_size == neg_vids.size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/sampler.cc:1193:48: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1193 | assert(prev_neg_offset + neg_sample_size == neg_vids.size()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/serialize/zerocopy_serializer.cc: In function ‘void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)’: /root/jenkins/workspace/dgl_PR-4291/src/graph/serialize/zerocopy_serializer.cc:24:34: warning: deleting ‘void*’ is undefined [-Wdelete-incomplete] 24 | delete[] ctx->tensor.dl_tensor.data; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of ‘void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = kDLCPU; FloatType = float; IdType = int; dgl::IdArray = dgl::runtime::NDArray]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 416 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 422 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 429 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 435 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of ‘void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = kDLCPU; FloatType = float; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 416 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 422 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 429 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 435 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of ‘void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = kDLCPU; FloatType = double; IdType = int; dgl::IdArray = dgl::runtime::NDArray]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 416 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 422 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 429 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 435 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc: In instantiation of ‘void dgl::transform::NNDescent(const dgl::runtime::NDArray&, const IdArray&, dgl::IdArray, int, int, int, double) [with DLDeviceType XPU = kDLCPU; FloatType = double; IdType = long int; dgl::IdArray = dgl::runtime::NDArray]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:416:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 416 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:422:54: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 422 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:429:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 429 | if (local_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/cpu/knn.cc:435:54: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 435 | if (local_neighbor_idx % num_threads == tid) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /root/jenkins/workspace/dgl_PR-4291/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-4291/src/array/libra_partition.cc:395:11: warning: ignoring return value of ‘int fscanf(FILE*, const char*, ...)’, declared with attribute warn_unused_result [-Wunused-result] 395 | fscanf(fp, "%ld,%ld,%f\n", &u, &v, &w); // reading an edge - the src and dst global node IDs | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/common.cc: In function ‘void dgl::network::StringAppendV(std::string*, const char*, __va_list_tag*)’: /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/common.cc:71:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 71 | if ((result >= 0) && (result < sizeof(space))) { | ~~~~~~~^~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core/include/dmlc/io.h:15, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4291/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/dmlc-core/include/dmlc/./logging.h:254:44: warning: control reaches end of non-void function [-Wreturn-type] 254 | #define LOG(severity) LOG_##severity.stream() | ^ /root/jenkins/workspace/dgl_PR-4291/src/array/libra_partition.cc:42:3: note: in expansion of macro ‘LOG’ 42 | LOG(FATAL) << "Error: Unexpected output in Ver2partition!"; | ^~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc:764:31: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 764 | for (int64_t eid = 0; eid < metagraph->NumEdges(); ++eid) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/heterograph_capi.cc:774:31: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 774 | for (int64_t nid = 0; nid < metagraph->NumVertices(); ++nid) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:18, from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 32; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 32; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 64; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 64; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:32:17: warning: unused variable ‘argX’ [-Wunused-variable] 32 | IdType* argX = Op::use_lhs ? static_cast(out_aux[0]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:33:17: warning: unused variable ‘argW’ [-Wunused-variable] 33 | IdType* argW = Op::use_rhs ? static_cast(out_aux[1]->data) : nullptr; | ^~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc: In instantiation of ‘std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = int]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:72:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int64_t’ {aka ‘const long int’} [-Wsign-compare] 72 | for (size_t i = 0; i < num_ntypes; ++i) { | ~~^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 32; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc: In instantiation of ‘std::pair >, std::vector > dgl::transform::{anonymous}::CompactGraphsCPU(const std::vector >&, const std::vector&) [with IdType = long int]’: /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/compact.cc:72:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int64_t’ {aka ‘const long int’} [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 32; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = int; int bits = 64; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc: In instantiation of ‘void dgl::aten::SpMMCsrHetero(const string&, const string&, const dgl::BcastOff&, const std::vector&, const std::vector&, const std::vector&, std::vector*, std::vector >*, const std::vector&, const std::vector&) [with int XPU = 1; IdType = long int; int bits = 64; std::string = std::__cxx11::basic_string]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:106:18: warning: unused variable ‘out_off’ [-Wunused-variable] 106 | DType *out_off = (*vec_out)[out_node_tids[etype]].Ptr(); | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Add]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Sub]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Mul]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::Div]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Add]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Sub]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Mul]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::Div]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Add]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Sub]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Mul]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::Div]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyLhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = float; Op = dgl::aten::cpu::op::CopyRhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Add]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Sub]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Mul]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::Div]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyLhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h: In instantiation of ‘void dgl::aten::cpu::SpMMSumCsr(const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with IdType = long int; DType = double; Op = dgl::aten::cpu::op::CopyRhs]’: /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:23:5: required from ‘void dgl::aten::SpMMCsr(const string&, const string&, const dgl::BcastOff&, const dgl::aten::CSRMatrix&, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, std::vector) [with int XPU = 1; IdType = long int; int bits = 16; std::string = std::__cxx11::basic_string]’ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:32: warning: unused variable ‘lhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/array/cpu/./spmm.h:128:57: warning: unused variable ‘rhs_dim’ [-Wunused-variable] 128 | int64_t dim = bcast.out_len, lhs_dim = bcast.lhs_len, rhs_dim = bcast.rhs_len; | ^~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:325:11: warning: unused variable ‘message_size’ [-Wunused-variable] 325 | int64_t message_size = args[0]; | ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:485:14: warning: comparison of integer expressions of different signedness: ‘dgl::dgl_id_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 485 | if (p_id == local_machine_id) { | ~~~~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:500:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 500 | for (int i = 0; i < remote_ids.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.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_rowwise.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/socket_communicator_test.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_aten.cc.o [100%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [100%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o /root/jenkins/workspace/dgl_PR-4291/tests/dist/cpp/rpc_client.cc: In member function ‘void RPCClient::StartClient()’: /root/jenkins/workspace/dgl_PR-4291/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable ‘num_machines’ [-Wunused-variable] 50 | const int num_machines = ips_.size(); | ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRemainder_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = int]’: /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:86:42: required from here /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:66:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 66 | for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:74:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 74 | for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRemainder_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = long int]’: /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:87:42: required from here /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:66:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 66 | for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:74:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 74 | for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRange_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = int]’: /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:195:38: required from here /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:176:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 176 | for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:184:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 184 | for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRange_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = long int]’: /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:196:38: required from here /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:176:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 176 | for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4291/tests/cpp/test_partition.cc:184:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 184 | 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-4291 ~/jenkins/workspace/dgl_PR-4291/python ~/jenkins/workspace/dgl_PR-4291 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_64-3.8 creating build/lib.linux-x86_64-3.8/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.8/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.8/dgl creating build/lib.linux-x86_64-3.8/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.8/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.8/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.8/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.8/dgl/geometry creating build/lib.linux-x86_64-3.8/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.8/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.8/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.8/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.8/dgl/function creating build/lib.linux-x86_64-3.8/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn creating build/lib.linux-x86_64-3.8/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.8/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.8/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.8/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.8/dgl/contrib creating build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.8/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.8/dgl/utils creating build/lib.linux-x86_64-3.8/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.8/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.8/dgl/multiprocessing creating build/lib.linux-x86_64-3.8/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.8/dgl/optim creating build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.8/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.8/dgl/dataloading creating build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading creating build/lib.linux-x86_64-3.8/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.8/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.8/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.8/dgl/backend creating build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.8/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.8/dgl/ops creating build/lib.linux-x86_64-3.8/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.8/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.8/dgl/cuda creating build/lib.linux-x86_64-3.8/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.8/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.8/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.8/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.8/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.8/dgl/storages creating build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.8/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.8/dgl/sampling creating build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.8/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.8/dgl/data creating build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.8/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.8/dgl/distributed creating build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate creating build/lib.linux-x86_64-3.8/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.8/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.8/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.8/dgl/transforms creating build/lib.linux-x86_64-3.8/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distgnn creating build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.8/dgl/_ffi creating build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch creating build/lib.linux-x86_64-3.8/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet creating build/lib.linux-x86_64-3.8/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.8/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/functional creating build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.8/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.8/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.8/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.8/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.8/dgl/contrib/sampling creating build/lib.linux-x86_64-3.8/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.8/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.8/dgl/contrib/data creating build/lib.linux-x86_64-3.8/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.8/dgl/optim/pytorch creating build/lib.linux-x86_64-3.8/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.8/dgl/optim/mxnet creating build/lib.linux-x86_64-3.8/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.8/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.8/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.8/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.8/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.8/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/backend/pytorch creating build/lib.linux-x86_64-3.8/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.8/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.8/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.8/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.8/dgl/backend/mxnet creating build/lib.linux-x86_64-3.8/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.8/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.8/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.8/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.8/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.8/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/nn creating build/lib.linux-x86_64-3.8/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim creating build/lib.linux-x86_64-3.8/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.8/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.8/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.8/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.8/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.8/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.8/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.8/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.8/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distgnn/partition creating build/lib.linux-x86_64-3.8/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.8/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.8/dgl/distgnn/tools creating build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.8/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.8/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.8/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.8/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.8 creating build/temp.linux-x86_64-3.8/dgl creating build/temp.linux-x86_64-3.8/dgl/_ffi creating build/temp.linux-x86_64-3.8/dgl/_ffi/_cython gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/include/python3.8 -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.8/dgl/_ffi/_cython/core.o g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-3.8/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3/core.cpython-38-x86_64-linux-gnu.so 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/geometry copying build/lib.linux-x86_64-3.8/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.8/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.8/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.8/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.8/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.8/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.8/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_64-3.8/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_64-3.8/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/__init__.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_64-3.8/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.8/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.8/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.8/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.8/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.8/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.8/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.8/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.8/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.8/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.8/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.8/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.8/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.8/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.8/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.8/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.8/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.8/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.8/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.8/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.8/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.8/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.8/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.8/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.8/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.8/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.8/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.8/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.8/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.8/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.8/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/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_64-3.8/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.8/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.8/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.8/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.8/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.8/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.8/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.8/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.8/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.8/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.8/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.8/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_64-3.8/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3/core.cpython-38-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_64-3.8/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_64-3.8/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.8/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.8/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-38.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-38.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-38-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-38.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_1.12.0a0.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-0.9-py3.8-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-0.9-py3.8-linux-x86_64.egg creating /opt/conda/lib/python3.8/site-packages/dgl-0.9-py3.8-linux-x86_64.egg Extracting dgl-0.9-py3.8-linux-x86_64.egg to /opt/conda/lib/python3.8/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/lib/python3.8/site-packages/dgl-0.9-py3.8-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil==5.9.0 Best match: psutil 5.9.0 Adding psutil 5.9.0 to easy-install.pth file Using /opt/conda/lib/python3.8/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/bin Using /opt/conda/lib/python3.8/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/lib/python3.8/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/lib/python3.8/site-packages Searching for scipy==1.6.3 Best match: scipy 1.6.3 Adding scipy 1.6.3 to easy-install.pth file Using /opt/conda/lib/python3.8/site-packages Searching for numpy==1.22.3 Best match: numpy 1.22.3 Adding numpy 1.22.3 to easy-install.pth file Installing f2py script to /opt/conda/bin Installing f2py3 script to /opt/conda/bin Installing f2py3.8 script to /opt/conda/bin Using /opt/conda/lib/python3.8/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/lib/python3.8/site-packages Searching for certifi==2021.10.8 Best match: certifi 2021.10.8 Adding certifi 2021.10.8 to easy-install.pth file Using /opt/conda/lib/python3.8/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/lib/python3.8/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/bin Using /opt/conda/lib/python3.8/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/lib/python3.8/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/lib/python3.8/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/python3.8/site-packages/setuptools/command/easy_install.py:156: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. warnings.warn( [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/include/python3.8 -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.8/dgl/_ffi/_cython/core.o g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-3.8/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3/core.cpython-38-x86_64-linux-gnu.so copying build/lib.linux-x86_64-3.8/dgl/_ffi/_cy3/core.cpython-38-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/lib/python3.8/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-4291/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4291 [Pipeline] sh + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS= ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/..1c0a5fd598db.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n '' -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/..1c0a5fd598db.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + ls -lh /usr/lib/x86_64-linux-gnu/ total 2.1G -rw-r--r-- 1 root root 608 Feb 24 19:42 Mcrt1.o -rw-r--r-- 1 root root 1.9K Feb 24 19:42 Scrt1.o drwxr-xr-x 2 root root 4.0K Apr 17 00:06 atlas drwxr-xr-x 2 root root 4.0K Apr 5 05:02 audit drwxr-xr-x 5 root root 4.0K Apr 17 00:06 cmake drwxr-xr-x 2 root root 4.0K Apr 5 04:59 coreutils -rw-r--r-- 1 root root 2.0K Feb 24 19:42 crt1.o -rw-r--r-- 1 root root 1.4K Feb 24 19:42 crti.o -rw-r--r-- 1 root root 760 Feb 24 19:42 crtn.o drwxr-xr-x 2 root root 4.0K Apr 5 04:59 e2fsprogs drwxr-xr-x 2 root root 4.0K Apr 11 18:31 engines-1.1 drwxr-xr-x 2 root root 12K Apr 5 05:02 gconv -rw-r--r-- 1 root root 2.7K Feb 24 19:42 gcrt1.o drwxr-xr-x 3 root root 4.0K Apr 11 18:48 gio drwxr-xr-x 2 root root 4.0K Apr 11 18:48 glib-2.0 -rw-r--r-- 1 root root 2.4K Feb 24 19:42 grcrt1.o drwxr-xr-x 3 root root 4.0K Apr 17 00:06 hdf5 drwxr-xr-x 3 root root 4.0K Apr 11 18:31 krb5 -rwxr-xr-x 1 root root 187K Feb 24 19:42 ld-2.31.so lrwxrwxrwx 1 root root 10 Feb 24 19:42 ld-linux-x86-64.so.2 -> ld-2.31.so drwxr-xr-x 2 root root 4.0K Apr 11 18:31 ldscripts -rw-r--r-- 1 root root 15K Feb 24 19:42 libBrokenLocale-2.31.so -rw-r--r-- 1 root root 2.1K Feb 24 19:42 libBrokenLocale.a lrwxrwxrwx 1 root root 42 Feb 24 19:42 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 23 Feb 24 19:42 libBrokenLocale.so.1 -> libBrokenLocale-2.31.so lrwxrwxrwx 1 root root 16 Mar 21 2020 libFLAC.so.8 -> libFLAC.so.8.3.0 -rw-r--r-- 1 root root 243K Mar 21 2020 libFLAC.so.8.3.0 -rw-r--r-- 1 root root 23K Feb 24 19:42 libSegFault.so lrwxrwxrwx 1 root root 18 Mar 1 2020 libacl.so.1 -> libacl.so.1.1.2253 -rw-r--r-- 1 root root 39K Mar 1 2020 libacl.so.1.1.2253 -rw-r--r-- 1 root root 34K Jul 19 2019 libaec.a lrwxrwxrwx 1 root root 16 Jul 19 2019 libaec.so -> libaec.so.0.0.10 lrwxrwxrwx 1 root root 16 Jul 19 2019 libaec.so.0 -> libaec.so.0.0.10 -rw-r--r-- 1 root root 30K Jul 19 2019 libaec.so.0.0.10 -rw-r--r-- 1 root root 19K Feb 24 19:42 libanl-2.31.so -rw-r--r-- 1 root root 23K Feb 24 19:42 libanl.a lrwxrwxrwx 1 root root 33 Feb 24 19:42 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 14 Feb 24 19:42 libanl.so.1 -> libanl-2.31.so lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.6.0 -> libapt-pkg.so.6.0.0 -rw-r--r-- 1 root root 1.9M Jun 15 2021 libapt-pkg.so.6.0.0 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 467K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 16 Mar 9 17:57 libasan.so.5 -> libasan.so.5.0.0 -rw-r--r-- 1 root root 15M Mar 9 17:57 libasan.so.5.0.0 lrwxrwxrwx 1 root root 16 Mar 30 2020 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 663K Mar 30 2020 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Nov 1 2021 libasound.so.2 -> libasound.so.2.0.0 -rw-r--r-- 1 root root 999K Nov 1 2021 libasound.so.2.0.0 lrwxrwxrwx 1 root root 18 Jan 23 2020 libassuan.so.0 -> libassuan.so.0.8.3 -rw-r--r-- 1 root root 79K Jan 23 2020 libassuan.so.0.8.3 -rw-r--r-- 1 root root 7.7M Mar 26 2020 libatlas.a lrwxrwxrwx 1 root root 18 Mar 26 2020 libatlas.so -> libatlas.so.3.10.3 lrwxrwxrwx 1 root root 18 Mar 26 2020 libatlas.so.3 -> libatlas.so.3.10.3 -rw-r--r-- 1 root root 3.6M Mar 26 2020 libatlas.so.3.10.3 lrwxrwxrwx 1 root root 18 May 29 2021 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 31K May 29 2021 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 19 Sep 24 2019 libattr.so.1 -> libattr.so.1.1.2448 -rw-r--r-- 1 root root 27K Sep 24 2019 libattr.so.1.1.2448 lrwxrwxrwx 1 root root 17 Feb 18 2020 libaudit.so.1 -> libaudit.so.1.0.0 -rw-r--r-- 1 root root 131K Feb 18 2020 libaudit.so.1.0.0 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.34-system.so lrwxrwxrwx 1 root root 44 Apr 17 00:06 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Apr 17 00:06 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Apr 17 00:06 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 17 Feb 7 2022 libblkid.so.1 -> libblkid.so.1.1.0 -rw-r--r-- 1 root root 344K Feb 7 2022 libblkid.so.1.1.0 lrwxrwxrwx 1 root root 24 Sep 28 2020 libbrotlicommon.so.1 -> libbrotlicommon.so.1.0.7 -rw-r--r-- 1 root root 135K Sep 28 2020 libbrotlicommon.so.1.0.7 lrwxrwxrwx 1 root root 21 Sep 28 2020 libbrotlidec.so.1 -> libbrotlidec.so.1.0.7 -rw-r--r-- 1 root root 51K Sep 28 2020 libbrotlidec.so.1.0.7 lrwxrwxrwx 1 root root 21 Sep 28 2020 libbrotlienc.so.1 -> libbrotlienc.so.1.0.7 -rw-r--r-- 1 root root 543K Sep 28 2020 libbrotlienc.so.1.0.7 lrwxrwxrwx 1 root root 16 Aug 8 2019 libbsd.so.0 -> libbsd.so.0.10.0 -rw-r--r-- 1 root root 95K Aug 8 2019 libbsd.so.0.10.0 -rw-r--r-- 1 root root 80K Sep 5 2019 libbz2.a lrwxrwxrwx 1 root root 35 Sep 5 2019 libbz2.so -> /lib/x86_64-linux-gnu/libbz2.so.1.0 lrwxrwxrwx 1 root root 15 Sep 5 2019 libbz2.so.1 -> libbz2.so.1.0.4 lrwxrwxrwx 1 root root 15 Sep 5 2019 libbz2.so.1.0 -> libbz2.so.1.0.4 -rw-r--r-- 1 root root 74K Sep 5 2019 libbz2.so.1.0.4 -rwxr-xr-x 1 root root 2.0M Feb 24 19:42 libc-2.31.so -rw-r--r-- 1 root root 5.5M Feb 24 19:42 libc.a -rw-r--r-- 1 root root 298 Feb 24 19:42 libc.so lrwxrwxrwx 1 root root 12 Feb 24 19:42 libc.so.6 -> libc-2.31.so -rw-r--r-- 1 root root 24K Feb 24 19:42 libc_nonshared.a drwxr-xr-x 2 root root 4.0K Apr 11 18:48 libcanberra-0.30 lrwxrwxrwx 1 root root 20 Jun 21 2019 libcanberra.so.0 -> libcanberra.so.0.2.5 -rw-r--r-- 1 root root 70K Jun 21 2019 libcanberra.so.0.2.5 lrwxrwxrwx 1 root root 18 Jan 25 2020 libcap-ng.so.0 -> libcap-ng.so.0.0.0 -rw-r--r-- 1 root root 27K Jan 25 2020 libcap-ng.so.0.0.0 -rw-r--r-- 1 root root 483K Mar 26 2020 libcblas.a lrwxrwxrwx 1 root root 18 Mar 26 2020 libcblas.so -> libcblas.so.3.10.3 lrwxrwxrwx 1 root root 18 Mar 26 2020 libcblas.so.3 -> libcblas.so.3.10.3 -rw-r--r-- 1 root root 144K Mar 26 2020 libcblas.so.3.10.3 lrwxrwxrwx 1 root root 16 Mar 25 2020 libcbor.so.0.6 -> libcbor.so.0.6.0 -rw-r--r-- 1 root root 55K Mar 25 2020 libcbor.so.0.6.0 lrwxrwxrwx 1 root root 15 May 29 2021 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 144K May 29 2021 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 17 Feb 14 2020 libcom_err.so.2 -> libcom_err.so.2.1 -rw-r--r-- 1 root root 23K Feb 14 2020 libcom_err.so.2.1 -rw-r--r-- 1 root root 266K Mar 10 2020 libcrypt.a lrwxrwxrwx 1 root root 39 Mar 10 2020 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 10 2020 libcrypt.so.1 -> libcrypt.so.1.1.0 -rw-r--r-- 1 root root 199K Mar 10 2020 libcrypt.so.1.1.0 -rw-r--r-- 1 root root 2.9M Mar 9 12:12 libcrypto.so.1.1 lrwxrwxrwx 1 root root 21 Oct 20 2021 libctf-nobfd.so.0 -> libctf-nobfd.so.0.0.0 -rw-r--r-- 1 root root 115K Oct 20 2021 libctf-nobfd.so.0.0.0 lrwxrwxrwx 1 root root 15 Oct 20 2021 libctf.so.0 -> libctf.so.0.0.0 -rw-r--r-- 1 root root 116K Oct 20 2021 libctf.so.0.0.0 lrwxrwxrwx 1 root root 29 Apr 11 18:51 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Mar 28 22:05 libcudnn.so.8 -> libcudnn.so.8.4.0 -rw-r--r-- 1 root root 147K Mar 28 22:05 libcudnn.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_adv_infer.so -> /etc/alternatives/libcudnn_adv_infer_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_adv_infer.so.8 -> libcudnn_adv_infer.so.8.4.0 -rw-r--r-- 1 root root 111M Mar 28 22:05 libcudnn_adv_infer.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_adv_train.so -> /etc/alternatives/libcudnn_adv_train_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_adv_train.so.8 -> libcudnn_adv_train.so.8.4.0 -rw-r--r-- 1 root root 92M Mar 28 22:05 libcudnn_adv_train.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_cnn_infer.so -> /etc/alternatives/libcudnn_cnn_infer_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_cnn_infer.so.8 -> libcudnn_cnn_infer.so.8.4.0 -rw-r--r-- 1 root root 755M Mar 28 22:05 libcudnn_cnn_infer.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_cnn_train.so -> /etc/alternatives/libcudnn_cnn_train_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_cnn_train.so.8 -> libcudnn_cnn_train.so.8.4.0 -rw-r--r-- 1 root root 85M Mar 28 22:05 libcudnn_cnn_train.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_ops_infer.so -> /etc/alternatives/libcudnn_ops_infer_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_ops_infer.so.8 -> libcudnn_ops_infer.so.8.4.0 -rw-r--r-- 1 root root 87M Mar 28 22:05 libcudnn_ops_infer.so.8.4.0 lrwxrwxrwx 1 root root 39 Apr 11 18:51 libcudnn_ops_train.so -> /etc/alternatives/libcudnn_ops_train_so lrwxrwxrwx 1 root root 27 Mar 28 22:05 libcudnn_ops_train.so.8 -> libcudnn_ops_train.so.8.4.0 -rw-r--r-- 1 root root 68M Mar 28 22:05 libcudnn_ops_train.so.8.4.0 lrwxrwxrwx 1 root root 19 Sep 10 2021 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Sep 10 2021 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.6.0 -rw-r--r-- 1 root root 567K Sep 10 2021 libcurl-gnutls.so.4.6.0 lrwxrwxrwx 1 root root 16 Sep 10 2021 libcurl.so.4 -> libcurl.so.4.6.0 -rw-r--r-- 1 root root 575K Sep 10 2021 libcurl.so.4.6.0 drwxr-xr-x 1 root root 4.0K Apr 11 18:51 libcutensor lrwxrwxrwx 1 root root 16 Mar 8 10:02 libcutensor.so -> libcutensor.so.1 lrwxrwxrwx 1 root root 34 Apr 11 18:34 libcutensor.so.1 -> /etc/alternatives/libcutensor.so.1 lrwxrwxrwx 1 root root 38 Apr 11 18:34 libcutensor.so.1.5.0 -> /etc/alternatives/libcutensor.so.1.5.0 lrwxrwxrwx 1 root root 18 Mar 8 10:02 libcutensorMg.so -> libcutensorMg.so.1 lrwxrwxrwx 1 root root 36 Apr 11 18:34 libcutensorMg.so.1 -> /etc/alternatives/libcutensorMg.so.1 lrwxrwxrwx 1 root root 40 Apr 11 18:34 libcutensorMg.so.1.5.0 -> /etc/alternatives/libcutensorMg.so.1.5.0 -rw-r--r-- 1 root root 1.7M Mar 21 2020 libdb-5.3.so lrwxrwxrwx 1 root root 25 Feb 2 2020 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 15K Feb 2 2020 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 19K Feb 24 19:42 libdl-2.31.so -rw-r--r-- 1 root root 15K Feb 24 19:42 libdl.a lrwxrwxrwx 1 root root 32 Feb 24 19:42 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 13 Feb 24 19:42 libdl.so.2 -> libdl-2.31.so lrwxrwxrwx 1 root root 13 Feb 14 2020 libe2p.so.2 -> libe2p.so.2.3 -rw-r--r-- 1 root root 40K Feb 14 2020 libe2p.so.2.3 lrwxrwxrwx 1 root root 17 Jan 3 2020 libedit.so.2 -> libedit.so.2.0.63 -rw-r--r-- 1 root root 204K Jan 3 2020 libedit.so.2.0.63 lrwxrwxrwx 1 root root 18 Apr 27 2021 libefa.so.1 -> libefa.so.1.1.36.0 -rw-r--r-- 1 root root 35K Apr 27 2021 libefa.so.1.1.36.0 lrwxrwxrwx 1 root root 18 Feb 21 18:48 libexpat.so.1 -> libexpat.so.1.6.11 -rw-r--r-- 1 root root 179K Feb 21 18:48 libexpat.so.1.6.11 lrwxrwxrwx 1 root root 19 Feb 21 18:48 libexpatw.so.1 -> libexpatw.so.1.6.11 -rw-r--r-- 1 root root 179K Feb 21 18:48 libexpatw.so.1.6.11 lrwxrwxrwx 1 root root 16 Feb 14 2020 libext2fs.so.2 -> libext2fs.so.2.4 -rw-r--r-- 1 root root 397K Feb 14 2020 libext2fs.so.2.4 -rw-r--r-- 1 root root 573K Mar 26 2020 libf77blas.a lrwxrwxrwx 1 root root 20 Mar 26 2020 libf77blas.so -> libf77blas.so.3.10.3 lrwxrwxrwx 1 root root 20 Mar 26 2020 libf77blas.so.3 -> libf77blas.so.3.10.3 -rw-r--r-- 1 root root 140K Mar 26 2020 libf77blas.so.3.10.3 lrwxrwxrwx 1 root root 17 Feb 7 2022 libfdisk.so.1 -> libfdisk.so.1.1.0 -rw-r--r-- 1 root root 446K Feb 7 2022 libfdisk.so.1.1.0 lrwxrwxrwx 1 root root 15 Mar 23 2020 libffi.so.7 -> libffi.so.7.1.0 -rw-r--r-- 1 root root 43K Mar 23 2020 libffi.so.7.1.0 lrwxrwxrwx 1 root root 17 Mar 27 2020 libfido2.so.1 -> libfido2.so.1.3.1 -rw-r--r-- 1 root root 143K Mar 27 2020 libfido2.so.1.3.1 lrwxrwxrwx 1 root root 14 Feb 26 2020 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 72K Feb 26 2020 libform.so.5.9 lrwxrwxrwx 1 root root 14 Feb 26 2020 libform.so.6 -> libform.so.6.2 -rw-r--r-- 1 root root 72K Feb 26 2020 libform.so.6.2 lrwxrwxrwx 1 root root 15 Feb 26 2020 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 76K Feb 26 2020 libformw.so.5.9 lrwxrwxrwx 1 root root 15 Feb 26 2020 libformw.so.6 -> libformw.so.6.2 -rw-r--r-- 1 root root 80K Feb 26 2020 libformw.so.6.2 -rw-r--r-- 1 root root 1.3K Feb 24 19:42 libg.a -rw-r--r-- 1 root root 103K May 29 2021 libgcc_s.so.1 lrwxrwxrwx 1 root root 19 Sep 14 2021 libgcrypt.so.20 -> libgcrypt.so.20.2.5 -rw-r--r-- 1 root root 1.2M Sep 14 2021 libgcrypt.so.20.2.5 lrwxrwxrwx 1 root root 16 Aug 22 2019 libgdbm.so.6 -> libgdbm.so.6.0.0 -rw-r--r-- 1 root root 59K Aug 22 2019 libgdbm.so.6.0.0 lrwxrwxrwx 1 root root 23 Aug 22 2019 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Aug 22 2019 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 14 Jul 23 2021 libgdrapi.so -> libgdrapi.so.2 lrwxrwxrwx 1 root root 16 Jul 23 2021 libgdrapi.so.2 -> libgdrapi.so.2.3 -rw-r--r-- 1 root root 23K Jul 23 2021 libgdrapi.so.2.3 -rw-r--r-- 1 root root 286K Mar 23 2020 libgflags.a lrwxrwxrwx 1 root root 16 Mar 23 2020 libgflags.so -> libgflags.so.2.2 lrwxrwxrwx 1 root root 18 Mar 23 2020 libgflags.so.2.2 -> libgflags.so.2.2.2 -rw-r--r-- 1 root root 167K Mar 23 2020 libgflags.so.2.2.2 -rw-r--r-- 1 root root 282K Mar 23 2020 libgflags_nothreads.a lrwxrwxrwx 1 root root 26 Mar 23 2020 libgflags_nothreads.so -> libgflags_nothreads.so.2.2 lrwxrwxrwx 1 root root 28 Mar 23 2020 libgflags_nothreads.so.2.2 -> libgflags_nothreads.so.2.2.2 -rw-r--r-- 1 root root 167K Mar 23 2020 libgflags_nothreads.so.2.2.2 lrwxrwxrwx 1 root root 20 May 29 2021 libgfortran.so.5 -> libgfortran.so.5.0.0 -rw-r--r-- 1 root root 2.8M May 29 2021 libgfortran.so.5.0.0 lrwxrwxrwx 1 root root 22 Jul 12 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.6400.6 -rw-r--r-- 1 root root 1.9M Jul 12 2021 libgio-2.0.so.0.6400.6 lrwxrwxrwx 1 root root 23 Jul 12 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.6400.6 -rw-r--r-- 1 root root 1.2M Jul 12 2021 libglib-2.0.so.0.6400.6 -rw-r--r-- 1 root root 256K Mar 22 2020 libglog.a lrwxrwxrwx 1 root root 16 Mar 22 2020 libglog.so -> libglog.so.0.0.0 lrwxrwxrwx 1 root root 16 Mar 22 2020 libglog.so.0 -> libglog.so.0.0.0 -rw-r--r-- 1 root root 136K Mar 22 2020 libglog.so.0.0.0 lrwxrwxrwx 1 root root 26 Jul 12 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.6400.6 -rw-r--r-- 1 root root 19K Jul 12 2021 libgmodule-2.0.so.0.6400.6 lrwxrwxrwx 1 root root 16 Feb 24 2020 libgmp.so.10 -> libgmp.so.10.4.0 -rw-r--r-- 1 root root 523K Feb 24 2020 libgmp.so.10.4.0 lrwxrwxrwx 1 root root 20 Aug 2 2021 libgnutls.so.30 -> libgnutls.so.30.27.0 -rw-r--r-- 1 root root 1.9M Aug 2 2021 libgnutls.so.30.27.0 lrwxrwxrwx 1 root root 26 Jul 12 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.6400.6 -rw-r--r-- 1 root root 379K Jul 12 2021 libgobject-2.0.so.0.6400.6 lrwxrwxrwx 1 root root 16 May 29 2021 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 260K May 29 2021 libgomp.so.1.0.0 lrwxrwxrwx 1 root root 22 Feb 12 2020 libgpg-error.so.0 -> libgpg-error.so.0.28.0 -rw-r--r-- 1 root root 135K Feb 12 2020 libgpg-error.so.0.28.0 -rw-r--r-- 1 root root 22K Jan 30 2018 libgpm.so.2 lrwxrwxrwx 1 root root 16 Apr 1 2019 libgsm.so.1 -> libgsm.so.1.0.18 -rw-r--r-- 1 root root 55K Apr 1 2019 libgsm.so.1.0.18 lrwxrwxrwx 1 root root 18 Mar 30 2020 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 272K Mar 30 2020 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 303K Nov 11 2020 libgssapi_krb5.so.2.2 lrwxrwxrwx 1 root root 26 Jul 12 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.6400.6 -rw-r--r-- 1 root root 15K Jul 12 2021 libgthread-2.0.so.0.6400.6 lrwxrwxrwx 1 root root 19 Mar 30 2020 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 217K Mar 30 2020 libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 1.2M Apr 13 2020 libhdf5_cpp.a lrwxrwxrwx 1 root root 22 Apr 13 2020 libhdf5_cpp.so -> libhdf5_cpp.so.103.0.0 lrwxrwxrwx 1 root root 22 Apr 13 2020 libhdf5_cpp.so.103 -> libhdf5_cpp.so.103.0.0 -rw-r--r-- 1 root root 493K Apr 13 2020 libhdf5_cpp.so.103.0.0 -rw-r--r-- 1 root root 15K Apr 13 2020 libhdf5_hl_cpp.a lrwxrwxrwx 1 root root 25 Apr 13 2020 libhdf5_hl_cpp.so -> libhdf5_hl_cpp.so.100.1.2 lrwxrwxrwx 1 root root 25 Apr 13 2020 libhdf5_hl_cpp.so.100 -> libhdf5_hl_cpp.so.100.1.2 -rw-r--r-- 1 root root 23K Apr 13 2020 libhdf5_hl_cpp.so.100.1.2 -rw-r--r-- 1 root root 7.9M Apr 13 2020 libhdf5_serial.a -rw-r--r-- 1 root root 4.3K Apr 13 2020 libhdf5_serial.settings lrwxrwxrwx 1 root root 25 Apr 13 2020 libhdf5_serial.so -> libhdf5_serial.so.103.0.0 lrwxrwxrwx 1 root root 25 Apr 13 2020 libhdf5_serial.so.103 -> libhdf5_serial.so.103.0.0 -rw-r--r-- 1 root root 3.5M Apr 13 2020 libhdf5_serial.so.103.0.0 -rw-r--r-- 1 root root 440K Apr 13 2020 libhdf5_serial_fortran.a lrwxrwxrwx 1 root root 33 Apr 13 2020 libhdf5_serial_fortran.so -> libhdf5_serial_fortran.so.100.1.2 lrwxrwxrwx 1 root root 33 Apr 13 2020 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.1.2 -rw-r--r-- 1 root root 286K Apr 13 2020 libhdf5_serial_fortran.so.100.1.2 -rw-r--r-- 1 root root 233K Apr 13 2020 libhdf5_serial_hl.a lrwxrwxrwx 1 root root 28 Apr 13 2020 libhdf5_serial_hl.so -> libhdf5_serial_hl.so.100.1.1 lrwxrwxrwx 1 root root 28 Apr 13 2020 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.1.1 -rw-r--r-- 1 root root 148K Apr 13 2020 libhdf5_serial_hl.so.100.1.1 -rw-r--r-- 1 root root 180K Apr 13 2020 libhdf5_serialhl_fortran.a lrwxrwxrwx 1 root root 35 Apr 13 2020 libhdf5_serialhl_fortran.so -> libhdf5_serialhl_fortran.so.100.0.3 lrwxrwxrwx 1 root root 35 Apr 13 2020 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.3 -rw-r--r-- 1 root root 127K Apr 13 2020 libhdf5_serialhl_fortran.so.100.0.3 lrwxrwxrwx 1 root root 20 Mar 30 2020 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 68K Mar 30 2020 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Mar 30 2020 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 43K Mar 30 2020 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Feb 25 2020 libhistory.so.8 -> libhistory.so.8.0 -rw-r--r-- 1 root root 51K Feb 25 2020 libhistory.so.8.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.5 -> libhogweed.so.5.0 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.5.0 lrwxrwxrwx 1 root root 17 Mar 30 2020 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 306K Mar 30 2020 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 21 Apr 27 2021 libibumad.so.3 -> libibumad.so.3.2.36.0 -rw-r--r-- 1 root root 43K Apr 27 2021 libibumad.so.3.2.36.0 drwxr-xr-x 2 root root 4.0K Apr 11 18:49 libibverbs lrwxrwxrwx 1 root root 23 Apr 27 2021 libibverbs.so.1 -> libibverbs.so.1.14.36.0 -rw-r--r-- 1 root root 131K Apr 27 2021 libibverbs.so.1.14.36.0 lrwxrwxrwx 1 root root 16 Sep 11 2019 libidn2.so.0 -> libidn2.so.0.3.6 -rw-r--r-- 1 root root 127K Sep 11 2019 libidn2.so.0.3.6 lrwxrwxrwx 1 root root 16 Feb 18 2020 libisl.so.22 -> libisl.so.22.0.1 -rw-r--r-- 1 root root 1.7M Feb 18 2020 libisl.so.22.0.1 lrwxrwxrwx 1 root root 15 May 29 2021 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 99K May 29 2021 libitm.so.1.0.0 -rw-r--r-- 1 root root 755K Jun 4 2020 libjpeg.a lrwxrwxrwx 1 root root 12 Jun 4 2020 libjpeg.so -> libjpeg.so.8 lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so.8 -> libjpeg.so.8.2.2 -rw-r--r-- 1 root root 527K Jun 4 2020 libjpeg.so.8.2.2 lrwxrwxrwx 1 root root 14 Jan 5 2021 libjq.so.1 -> libjq.so.1.0.4 -rw-r--r-- 1 root root 303K Jan 5 2021 libjq.so.1.0.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 187K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 18 Oct 20 2019 libkeyutils.so.1 -> libkeyutils.so.1.8 -rw-r--r-- 1 root root 23K Oct 20 2019 libkeyutils.so.1.8 lrwxrwxrwx 1 root root 17 Mar 30 2020 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 581K Mar 30 2020 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 881K 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 55K 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 46 Apr 17 00:06 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Apr 17 00:06 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Apr 17 00:06 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu -rw-r--r-- 1 root root 1.1M Mar 26 2020 liblapack_atlas.a lrwxrwxrwx 1 root root 25 Mar 26 2020 liblapack_atlas.so -> liblapack_atlas.so.3.10.3 lrwxrwxrwx 1 root root 25 Mar 26 2020 liblapack_atlas.so.3 -> liblapack_atlas.so.3.10.3 -rw-r--r-- 1 root root 371K Mar 26 2020 liblapack_atlas.so.3.10.3 lrwxrwxrwx 1 root root 22 Apr 8 2021 liblber-2.4.so.2 -> liblber-2.4.so.2.10.12 -rw-r--r-- 1 root root 63K Apr 8 2021 liblber-2.4.so.2.10.12 lrwxrwxrwx 1 root root 18 Apr 8 2021 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 24 Apr 8 2021 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.12 -rw-r--r-- 1 root root 332K Apr 8 2021 libldap_r-2.4.so.2.10.12 -rw-r--r-- 1 root root 918K Mar 21 2020 libleveldb.a lrwxrwxrwx 1 root root 16 Mar 21 2020 libleveldb.so -> libleveldb.so.1d -rw-r--r-- 1 root root 368K Mar 21 2020 libleveldb.so.1.22.0 lrwxrwxrwx 1 root root 20 Mar 21 2020 libleveldb.so.1d -> libleveldb.so.1.22.0 -rw-r--r-- 1 root root 98K Mar 25 2020 liblmdb.a lrwxrwxrwx 1 root root 12 Mar 25 2020 liblmdb.so -> liblmdb.so.0 lrwxrwxrwx 1 root root 16 Mar 25 2020 liblmdb.so.0 -> liblmdb.so.0.0.0 -rw-r--r-- 1 root root 91K Mar 25 2020 liblmdb.so.0.0.0 lrwxrwxrwx 1 root root 16 May 29 2021 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 3.2M May 29 2021 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Mar 2 2020 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Mar 2 2020 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.9.2 -rw-r--r-- 1 root root 127K May 20 2021 liblz4.so.1.9.2 lrwxrwxrwx 1 root root 16 Apr 20 2020 liblzma.so.5 -> liblzma.so.5.2.4 -rw-r--r-- 1 root root 159K Apr 20 2020 liblzma.so.5.2.4 -rw-r--r-- 1 root root 3.2M Feb 24 19:42 libm-2.31.a -rw-r--r-- 1 root root 1.4M Feb 24 19:42 libm-2.31.so -rw-r--r-- 1 root root 132 Feb 24 19:42 libm.a -rw-r--r-- 1 root root 140 Feb 24 19:42 libm.so lrwxrwxrwx 1 root root 12 Feb 24 19:42 libm.so.6 -> libm-2.31.so lrwxrwxrwx 1 root root 17 Jan 16 2020 libmagic.so.1 -> libmagic.so.1.0.0 -rw-r--r-- 1 root root 155K Jan 16 2020 libmagic.so.1.0.0 -rw-r--r-- 1 root root 1.7K Feb 24 19:42 libmcheck.a -rw-r--r-- 1 root root 50K Mar 21 2020 libmemenv.a -rw-r--r-- 1 root root 19K Feb 24 19:42 libmemusage.so lrwxrwxrwx 1 root root 14 Feb 26 2020 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 43K Feb 26 2020 libmenu.so.5.9 lrwxrwxrwx 1 root root 14 Feb 26 2020 libmenu.so.6 -> libmenu.so.6.2 -rw-r--r-- 1 root root 43K Feb 26 2020 libmenu.so.6.2 lrwxrwxrwx 1 root root 15 Feb 26 2020 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 43K Feb 26 2020 libmenuw.so.5.9 lrwxrwxrwx 1 root root 15 Feb 26 2020 libmenuw.so.6 -> libmenuw.so.6.2 -rw-r--r-- 1 root root 43K Feb 26 2020 libmenuw.so.6.2 lrwxrwxrwx 1 root root 19 Apr 27 2021 libmlx4.so.1 -> libmlx4.so.1.0.36.0 -rw-r--r-- 1 root root 55K Apr 27 2021 libmlx4.so.1.0.36.0 lrwxrwxrwx 1 root root 20 Apr 27 2021 libmlx5.so.1 -> libmlx5.so.1.20.36.0 -rw-r--r-- 1 root root 408K Apr 27 2021 libmlx5.so.1.20.36.0 lrwxrwxrwx 1 root root 17 Feb 7 2022 libmount.so.1 -> libmount.so.1.1.0 -rw-r--r-- 1 root root 379K Feb 7 2022 libmount.so.1.1.0 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 Feb 26 2020 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 219K Feb 26 2020 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 1 2019 libmpfr.so.6 -> libmpfr.so.6.0.2 -rw-r--r-- 1 root root 512K Feb 1 2019 libmpfr.so.6.0.2 -rw-r--r-- 1 root root 171K Feb 24 19:42 libmvec-2.31.so -rw-r--r-- 1 root root 350K Feb 24 19:42 libmvec.a lrwxrwxrwx 1 root root 34 Feb 24 19:42 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 lrwxrwxrwx 1 root root 15 Feb 24 19:42 libmvec.so.1 -> libmvec-2.31.so lrwxrwxrwx 1 root root 12 Apr 9 23:04 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 18 Apr 9 23:04 libnccl.so.2 -> libnccl.so.2.12.10 -rw-r--r-- 1 root root 201M Apr 9 23:04 libnccl.so.2.12.10 lrwxrwxrwx 1 root root 17 Feb 26 2020 libncurses.so.5 -> libncurses.so.5.9 -rw-r--r-- 1 root root 147K Feb 26 2020 libncurses.so.5.9 lrwxrwxrwx 1 root root 17 Feb 26 2020 libncurses.so.6 -> libncurses.so.6.2 -rw-r--r-- 1 root root 159K Feb 26 2020 libncurses.so.6.2 lrwxrwxrwx 1 root root 18 Feb 26 2020 libncursesw.so.5 -> libncursesw.so.5.9 -rw-r--r-- 1 root root 195K Feb 26 2020 libncursesw.so.5.9 lrwxrwxrwx 1 root root 18 Feb 26 2020 libncursesw.so.6 -> libncursesw.so.6.2 -rw-r--r-- 1 root root 227K Feb 26 2020 libncursesw.so.6.2 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.7 -> libnettle.so.7.0 -rw-r--r-- 1 root root 227K Jun 14 2021 libnettle.so.7.0 lrwxrwxrwx 1 root root 21 Mar 22 2020 libnghttp2.so.14 -> libnghttp2.so.14.19.0 -rw-r--r-- 1 root root 159K Mar 22 2020 libnghttp2.so.14.19.0 -rw-r--r-- 1 root root 227K May 16 2018 libnl-3.a lrwxrwxrwx 1 root root 19 May 16 2018 libnl-3.so -> libnl-3.so.200.26.0 lrwxrwxrwx 1 root root 19 May 16 2018 libnl-3.so.200 -> libnl-3.so.200.26.0 -rw-r--r-- 1 root root 135K May 16 2018 libnl-3.so.200.26.0 -rw-r--r-- 1 root root 1000K May 16 2018 libnl-route-3.a lrwxrwxrwx 1 root root 25 May 16 2018 libnl-route-3.so -> libnl-route-3.so.200.26.0 lrwxrwxrwx 1 root root 25 May 16 2018 libnl-route-3.so.200 -> libnl-route-3.so.200.26.0 -rw-r--r-- 1 root root 467K May 16 2018 libnl-route-3.so.200.26.0 lrwxrwxrwx 1 root root 16 Jul 17 2018 libnpth.so.0 -> libnpth.so.0.1.2 -rw-r--r-- 1 root root 19K Jul 17 2018 libnpth.so.0.1.2 -rw-r--r-- 1 root root 104K Feb 24 19:42 libnsl-2.31.so -rw-r--r-- 1 root root 207K Feb 24 19:42 libnsl.a lrwxrwxrwx 1 root root 33 Feb 24 19:42 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 14 Feb 24 19:42 libnsl.so.1 -> libnsl-2.31.so -rw-r--r-- 1 root root 43K Feb 24 19:42 libnss_compat-2.31.so lrwxrwxrwx 1 root root 40 Feb 24 19:42 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 21 Feb 24 19:42 libnss_compat.so.2 -> libnss_compat-2.31.so -rw-r--r-- 1 root root 27K Feb 24 19:42 libnss_dns-2.31.so lrwxrwxrwx 1 root root 37 Feb 24 19:42 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 18 Feb 24 19:42 libnss_dns.so.2 -> libnss_dns-2.31.so -rw-r--r-- 1 root root 51K Feb 24 19:42 libnss_files-2.31.so lrwxrwxrwx 1 root root 39 Feb 24 19:42 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 20 Feb 24 19:42 libnss_files.so.2 -> libnss_files-2.31.so -rw-r--r-- 1 root root 27K Feb 24 19:42 libnss_hesiod-2.31.so lrwxrwxrwx 1 root root 40 Feb 24 19:42 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 21 Feb 24 19:42 libnss_hesiod.so.2 -> libnss_hesiod-2.31.so -rw-r--r-- 1 root root 51K Feb 24 19:42 libnss_nis-2.31.so lrwxrwxrwx 1 root root 37 Feb 24 19:42 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 18 Feb 24 19:42 libnss_nis.so.2 -> libnss_nis-2.31.so -rw-r--r-- 1 root root 59K Feb 24 19:42 libnss_nisplus-2.31.so lrwxrwxrwx 1 root root 41 Feb 24 19:42 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 lrwxrwxrwx 1 root root 22 Feb 24 19:42 libnss_nisplus.so.2 -> libnss_nisplus-2.31.so -rw-r--r-- 1 root root 71K Sep 8 2018 libnuma.a lrwxrwxrwx 1 root root 16 Sep 8 2018 libnuma.so -> libnuma.so.1.0.0 lrwxrwxrwx 1 root root 16 Sep 8 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 47K Sep 8 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 01:19 libnvcaffe_parser.so -> libnvparsers.so.8.2.4 lrwxrwxrwx 1 root root 21 Mar 24 01:19 libnvcaffe_parser.so.8 -> libnvparsers.so.8.2.4 lrwxrwxrwx 1 root root 21 Mar 24 01:19 libnvcaffe_parser.so.8.2.4 -> libnvparsers.so.8.2.4 lrwxrwxrwx 1 root root 19 Mar 24 01:19 libnvinfer.so -> libnvinfer.so.8.2.4 lrwxrwxrwx 1 root root 19 Mar 24 01:19 libnvinfer.so.8 -> libnvinfer.so.8.2.4 -rw-r--r-- 1 root root 410M Apr 11 18:34 libnvinfer.so.8.2.4 -rw-r--r-- 1 root root 62M Mar 24 01:19 libnvinfer_builder_resource.so.8.2.4 lrwxrwxrwx 1 root root 22 Mar 24 23:41 libnvinfer_plugin.so -> libnvinfer_plugin.so.8 lrwxrwxrwx 1 root root 28 Mar 24 23:41 libnvinfer_plugin.so.8 -> libnvinfer_plugin.so.8.2.4.2 -rw-r--r-- 1 root root 54M Mar 24 23:41 libnvinfer_plugin.so.8.2.4.2 lrwxrwxrwx 1 root root 20 Mar 24 23:41 libnvonnxparser.so -> libnvonnxparser.so.8 lrwxrwxrwx 1 root root 26 Mar 24 23:41 libnvonnxparser.so.8 -> libnvonnxparser.so.8.2.4.2 -rw-r--r-- 1 root root 4.7M Mar 24 23:41 libnvonnxparser.so.8.2.4.2 lrwxrwxrwx 1 root root 21 Mar 24 01:19 libnvparsers.so -> libnvparsers.so.8.2.4 lrwxrwxrwx 1 root root 21 Mar 24 01:19 libnvparsers.so.8 -> libnvparsers.so.8.2.4 -rw-r--r-- 1 root root 3.3M Apr 11 18:34 libnvparsers.so.8.2.4 lrwxrwxrwx 1 root root 15 Sep 16 2019 libogg.so.0 -> libogg.so.0.8.4 -rw-r--r-- 1 root root 46K Sep 16 2019 libogg.so.0.8.4 lrwxrwxrwx 1 root root 16 Dec 22 2019 libonig.so.5 -> libonig.so.5.0.0 -rw-r--r-- 1 root root 568K Dec 22 2019 libonig.so.5.0.0 -rw-r--r-- 1 root root 634K Mar 24 23:41 libonnx_proto.a -rw-r--r-- 1 root root 1.4M Oct 20 2021 libopcodes-2.34-system.so lrwxrwxrwx 1 root root 26 Oct 10 2019 libopencore-amrnb.so.0 -> libopencore-amrnb.so.0.0.3 -rw-r--r-- 1 root root 167K Oct 10 2019 libopencore-amrnb.so.0.0.3 lrwxrwxrwx 1 root root 26 Oct 10 2019 libopencore-amrwb.so.0 -> libopencore-amrwb.so.0.0.3 -rw-r--r-- 1 root root 83K Oct 10 2019 libopencore-amrwb.so.0.0.3 lrwxrwxrwx 1 root root 24 Apr 17 00:18 libopencv_calib3d.so -> libopencv_calib3d.so.3.4 lrwxrwxrwx 1 root root 27 Apr 17 00:18 libopencv_calib3d.so.3.4 -> libopencv_calib3d.so.3.4.11 -rw-r--r-- 1 root root 1.8M Apr 17 00:17 libopencv_calib3d.so.3.4.11 lrwxrwxrwx 1 root root 21 Apr 17 00:18 libopencv_core.so -> libopencv_core.so.3.4 lrwxrwxrwx 1 root root 24 Apr 17 00:18 libopencv_core.so.3.4 -> libopencv_core.so.3.4.11 -rw-r--r-- 1 root root 4.7M Apr 17 00:16 libopencv_core.so.3.4.11 lrwxrwxrwx 1 root root 27 Apr 17 00:18 libopencv_features2d.so -> libopencv_features2d.so.3.4 lrwxrwxrwx 1 root root 30 Apr 17 00:18 libopencv_features2d.so.3.4 -> libopencv_features2d.so.3.4.11 -rw-r--r-- 1 root root 1.1M Apr 17 00:16 libopencv_features2d.so.3.4.11 lrwxrwxrwx 1 root root 22 Apr 17 00:18 libopencv_flann.so -> libopencv_flann.so.3.4 lrwxrwxrwx 1 root root 25 Apr 17 00:18 libopencv_flann.so.3.4 -> libopencv_flann.so.3.4.11 -rw-r--r-- 1 root root 573K Apr 17 00:16 libopencv_flann.so.3.4.11 lrwxrwxrwx 1 root root 24 Apr 17 00:18 libopencv_highgui.so -> libopencv_highgui.so.3.4 lrwxrwxrwx 1 root root 27 Apr 17 00:18 libopencv_highgui.so.3.4 -> libopencv_highgui.so.3.4.11 -rw-r--r-- 1 root root 67K Apr 17 00:17 libopencv_highgui.so.3.4.11 lrwxrwxrwx 1 root root 26 Apr 17 00:18 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.4 lrwxrwxrwx 1 root root 29 Apr 17 00:18 libopencv_imgcodecs.so.3.4 -> libopencv_imgcodecs.so.3.4.11 -rw-r--r-- 1 root root 3.1M Apr 17 00:16 libopencv_imgcodecs.so.3.4.11 lrwxrwxrwx 1 root root 24 Apr 17 00:18 libopencv_imgproc.so -> libopencv_imgproc.so.3.4 lrwxrwxrwx 1 root root 27 Apr 17 00:18 libopencv_imgproc.so.3.4 -> libopencv_imgproc.so.3.4.11 -rw-r--r-- 1 root root 7.4M Apr 17 00:16 libopencv_imgproc.so.3.4.11 lrwxrwxrwx 1 root root 19 Apr 17 00:18 libopencv_ml.so -> libopencv_ml.so.3.4 lrwxrwxrwx 1 root root 22 Apr 17 00:18 libopencv_ml.so.3.4 -> libopencv_ml.so.3.4.11 -rw-r--r-- 1 root root 846K Apr 17 00:16 libopencv_ml.so.3.4.11 lrwxrwxrwx 1 root root 26 Apr 17 00:18 libopencv_objdetect.so -> libopencv_objdetect.so.3.4 lrwxrwxrwx 1 root root 29 Apr 17 00:18 libopencv_objdetect.so.3.4 -> libopencv_objdetect.so.3.4.11 -rw-r--r-- 1 root root 643K Apr 17 00:17 libopencv_objdetect.so.3.4.11 lrwxrwxrwx 1 root root 22 Apr 17 00:18 libopencv_photo.so -> libopencv_photo.so.3.4 lrwxrwxrwx 1 root root 25 Apr 17 00:18 libopencv_photo.so.3.4 -> libopencv_photo.so.3.4.11 -rw-r--r-- 1 root root 935K Apr 17 00:17 libopencv_photo.so.3.4.11 lrwxrwxrwx 1 root root 22 Apr 17 00:18 libopencv_shape.so -> libopencv_shape.so.3.4 lrwxrwxrwx 1 root root 25 Apr 17 00:18 libopencv_shape.so.3.4 -> libopencv_shape.so.3.4.11 -rw-r--r-- 1 root root 240K Apr 17 00:17 libopencv_shape.so.3.4.11 lrwxrwxrwx 1 root root 25 Apr 17 00:18 libopencv_superres.so -> libopencv_superres.so.3.4 lrwxrwxrwx 1 root root 28 Apr 17 00:18 libopencv_superres.so.3.4 -> libopencv_superres.so.3.4.11 -rw-r--r-- 1 root root 199K Apr 17 00:17 libopencv_superres.so.3.4.11 lrwxrwxrwx 1 root root 22 Apr 17 00:18 libopencv_video.so -> libopencv_video.so.3.4 lrwxrwxrwx 1 root root 25 Apr 17 00:18 libopencv_video.so.3.4 -> libopencv_video.so.3.4.11 -rw-r--r-- 1 root root 488K Apr 17 00:16 libopencv_video.so.3.4.11 lrwxrwxrwx 1 root root 24 Apr 17 00:18 libopencv_videoio.so -> libopencv_videoio.so.3.4 lrwxrwxrwx 1 root root 27 Apr 17 00:18 libopencv_videoio.so.3.4 -> libopencv_videoio.so.3.4.11 -rw-r--r-- 1 root root 343K Apr 17 00:16 libopencv_videoio.so.3.4.11 lrwxrwxrwx 1 root root 26 Apr 17 00:18 libopencv_videostab.so -> libopencv_videostab.so.3.4 lrwxrwxrwx 1 root root 29 Apr 17 00:18 libopencv_videostab.so.3.4 -> libopencv_videostab.so.3.4.11 -rw-r--r-- 1 root root 387K Apr 17 00:17 libopencv_videostab.so.3.4.11 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.3M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 16 Sep 17 2021 libpam.so.0 -> libpam.so.0.84.2 -rw-r--r-- 1 root root 67K Sep 17 2021 libpam.so.0.84.2 lrwxrwxrwx 1 root root 21 Sep 17 2021 libpam_misc.so.0 -> libpam_misc.so.0.82.1 -rw-r--r-- 1 root root 15K Sep 17 2021 libpam_misc.so.0.82.1 lrwxrwxrwx 1 root root 17 Sep 17 2021 libpamc.so.0 -> libpamc.so.0.82.1 -rw-r--r-- 1 root root 19K Sep 17 2021 libpamc.so.0.82.1 lrwxrwxrwx 1 root root 15 Feb 26 2020 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 23K Feb 26 2020 libpanel.so.5.9 lrwxrwxrwx 1 root root 15 Feb 26 2020 libpanel.so.6 -> libpanel.so.6.2 -rw-r--r-- 1 root root 23K Feb 26 2020 libpanel.so.6.2 lrwxrwxrwx 1 root root 16 Feb 26 2020 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 23K Feb 26 2020 libpanelw.so.5.9 lrwxrwxrwx 1 root root 16 Feb 26 2020 libpanelw.so.6 -> libpanelw.so.6.2 -rw-r--r-- 1 root root 23K Feb 26 2020 libpanelw.so.6.2 -rw-r--r-- 1 root root 15K Feb 24 19:42 libpcprofile.so lrwxrwxrwx 1 root root 17 Mar 21 2020 libpcre.so.3 -> libpcre.so.3.13.3 -rw-r--r-- 1 root root 455K Mar 21 2020 libpcre.so.3.13.3 lrwxrwxrwx 1 root root 19 Dec 7 2019 libpcre2-8.so.0 -> libpcre2-8.so.0.9.0 -rw-r--r-- 1 root root 571K Dec 7 2019 libpcre2-8.so.0.9.0 lrwxrwxrwx 1 root root 22 Mar 21 2020 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 15K Mar 21 2020 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.30 -> libperl.so.5.30.0 -rw-r--r-- 1 root root 3.4M Oct 19 2020 libperl.so.5.30.0 -rw-r--r-- 1 root root 45K Jan 16 2020 libpmi2.a -rw-r--r-- 1 root root 952 Jan 16 2020 libpmi2.la lrwxrwxrwx 1 root root 16 Jan 16 2020 libpmi2.so -> libpmi2.so.0.0.0 lrwxrwxrwx 1 root root 16 Jan 16 2020 libpmi2.so.0 -> libpmi2.so.0.0.0 -rw-r--r-- 1 root root 39K Jan 16 2020 libpmi2.so.0.0.0 lrwxrwxrwx 1 root root 10 Feb 7 2020 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Feb 7 2020 libpng.so -> libpng16.so -rw-r--r-- 1 root root 351K Feb 7 2020 libpng16.a lrwxrwxrwx 1 root root 19 Feb 7 2020 libpng16.so -> libpng16.so.16.37.0 lrwxrwxrwx 1 root root 19 Feb 7 2020 libpng16.so.16 -> libpng16.so.16.37.0 -rw-r--r-- 1 root root 219K Feb 7 2020 libpng16.so.16.37.0 lrwxrwxrwx 1 root root 16 Oct 21 2019 libpopt.so.0 -> libpopt.so.0.0.0 -rw-r--r-- 1 root root 51K Oct 21 2019 libpopt.so.0.0.0 lrwxrwxrwx 1 root root 18 Sep 9 2021 libprocps.so.8 -> libprocps.so.8.0.2 -rw-r--r-- 1 root root 79K Sep 9 2021 libprocps.so.8.0.2 -rw-r--r-- 1 root root 1.1M Feb 26 2020 libprotobuf-lite.a lrwxrwxrwx 1 root root 26 Feb 26 2020 libprotobuf-lite.so -> libprotobuf-lite.so.17.0.0 lrwxrwxrwx 1 root root 26 Feb 26 2020 libprotobuf-lite.so.17 -> libprotobuf-lite.so.17.0.0 -rw-r--r-- 1 root root 463K Feb 26 2020 libprotobuf-lite.so.17.0.0 -rw-r--r-- 1 root root 7.1M Feb 26 2020 libprotobuf.a lrwxrwxrwx 1 root root 21 Feb 26 2020 libprotobuf.so -> libprotobuf.so.17.0.0 lrwxrwxrwx 1 root root 21 Feb 26 2020 libprotobuf.so.17 -> libprotobuf.so.17.0.0 -rw-r--r-- 1 root root 3.0M Feb 26 2020 libprotobuf.so.17.0.0 lrwxrwxrwx 1 root root 19 Feb 26 2020 libprotoc.so.17 -> libprotoc.so.17.0.0 -rw-r--r-- 1 root root 2.5M Feb 26 2020 libprotoc.so.17.0.0 lrwxrwxrwx 1 root root 15 Mar 31 2020 libpsl.so.5 -> libpsl.so.5.3.2 -rw-r--r-- 1 root root 70K Mar 31 2020 libpsl.so.5.3.2 -rwxr-xr-x 1 root root 154K Feb 24 19:42 libpthread-2.31.so -rw-r--r-- 1 root root 6.3M Feb 24 19:42 libpthread.a lrwxrwxrwx 1 root root 37 Feb 24 19:42 libpthread.so -> /lib/x86_64-linux-gnu/libpthread.so.0 lrwxrwxrwx 1 root root 18 Feb 24 19:42 libpthread.so.0 -> libpthread-2.31.so lrwxrwxrwx 1 root root 19 Mar 15 12:22 libpython3.8.so.1 -> libpython3.8.so.1.0 -rw-r--r-- 1 root root 5.2M Mar 15 12:22 libpython3.8.so.1.0 lrwxrwxrwx 1 root root 20 May 29 2021 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 291K May 29 2021 libquadmath.so.0.0.0 lrwxrwxrwx 1 root root 21 Apr 27 2021 librdmacm.so.1 -> librdmacm.so.1.3.36.0 -rw-r--r-- 1 root root 120K Apr 27 2021 librdmacm.so.1.3.36.0 lrwxrwxrwx 1 root root 18 Feb 25 2020 libreadline.so.8 -> libreadline.so.8.0 -rw-r--r-- 1 root root 313K Feb 25 2020 libreadline.so.8.0 -rw-r--r-- 1 root root 99K Feb 24 19:42 libresolv-2.31.so -rw-r--r-- 1 root root 135K Feb 24 19:42 libresolv.a lrwxrwxrwx 1 root root 36 Feb 24 19:42 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 17 Feb 24 19:42 libresolv.so.2 -> libresolv-2.31.so lrwxrwxrwx 1 root root 18 Mar 30 2020 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 95K Mar 30 2020 libroken.so.18.1.0 -rw-r--r-- 1 root root 54K Feb 24 19:42 librpcsvc.a -rw-r--r-- 1 root root 36K Feb 24 19:42 librt-2.31.so -rw-r--r-- 1 root root 81K Feb 24 19:42 librt.a lrwxrwxrwx 1 root root 32 Feb 24 19:42 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 lrwxrwxrwx 1 root root 13 Feb 24 19:42 librt.so.1 -> librt-2.31.so -rw-r--r-- 1 root root 124K Oct 31 2019 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 20:03 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 111K Feb 15 20:03 libsasl2.so.2.0.25 lrwxrwxrwx 1 root root 19 Nov 19 2021 libseccomp.so.2 -> libseccomp.so.2.5.1 -rw-r--r-- 1 root root 131K Nov 19 2021 libseccomp.so.2.5.1 -rw-r--r-- 1 root root 160K Feb 26 2020 libselinux.so.1 -rw-r--r-- 1 root root 263K Feb 26 2020 libsemanage.so.1 -rw-r--r-- 1 root root 701K Dec 10 2019 libsepol.so.1 lrwxrwxrwx 1 root root 19 Apr 12 2018 libsigsegv.so.2 -> libsigsegv.so.2.0.5 -rw-r--r-- 1 root root 15K Apr 12 2018 libsigsegv.so.2.0.5 lrwxrwxrwx 1 root root 18 Jan 16 2020 libslurm.so.34 -> libslurm.so.34.0.0 -rw-r--r-- 1 root root 1.9M Jan 16 2020 libslurm.so.34.0.0 lrwxrwxrwx 1 root root 21 Feb 7 2022 libsmartcols.so.1 -> libsmartcols.so.1.1.0 -rw-r--r-- 1 root root 239K Feb 7 2022 libsmartcols.so.1.1.0 lrwxrwxrwx 1 root root 11 Mar 21 2020 libsnappy-shared.a -> libsnappy.a -rw-r--r-- 1 root root 48K Mar 21 2020 libsnappy.a lrwxrwxrwx 1 root root 14 Mar 21 2020 libsnappy.so -> libsnappy.so.1 lrwxrwxrwx 1 root root 18 Mar 21 2020 libsnappy.so.1 -> libsnappy.so.1.1.8 -rw-r--r-- 1 root root 39K Mar 21 2020 libsnappy.so.1.1.8 lrwxrwxrwx 1 root root 20 Jul 28 2021 libsndfile.so.1 -> libsndfile.so.1.0.28 -rw-r--r-- 1 root root 493K Jul 28 2021 libsndfile.so.1.0.28 lrwxrwxrwx 1 root root 15 Feb 9 2020 libsox.so.3 -> libsox.so.3.0.0 -rw-r--r-- 1 root root 547K Feb 9 2020 libsox.so.3.0.0 lrwxrwxrwx 1 root root 19 Jul 23 2020 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.2M Jul 23 2020 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 12 Feb 14 2020 libss.so.2 -> libss.so.2.0 -rw-r--r-- 1 root root 31K Feb 14 2020 libss.so.2.0 lrwxrwxrwx 1 root root 15 Aug 18 2021 libssh.so.4 -> libssh.so.4.8.4 -rw-r--r-- 1 root root 436K Aug 18 2021 libssh.so.4.8.4 -rw-r--r-- 1 root root 585K Mar 9 12:12 libssl.so.1.1 lrwxrwxrwx 1 root root 19 May 29 2021 libstdc++.so.6 -> libstdc++.so.6.0.28 -rw-r--r-- 1 root root 1.9M May 29 2021 libstdc++.so.6.0.28 lrwxrwxrwx 1 root root 20 Jan 10 2022 libsystemd.so.0 -> libsystemd.so.0.28.0 -rw-r--r-- 1 root root 693K Jan 10 2022 libsystemd.so.0.28.0 -rw-r--r-- 1 root root 4.4K Jul 19 2019 libsz.a lrwxrwxrwx 1 root root 14 Jul 19 2019 libsz.so -> libsz.so.2.0.1 lrwxrwxrwx 1 root root 14 Jul 19 2019 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 14K Jul 19 2019 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Feb 15 2020 libtasn1.so.6 -> libtasn1.so.6.6.0 -rw-r--r-- 1 root root 83K Feb 15 2020 libtasn1.so.6.6.0 lrwxrwxrwx 1 root root 28 Feb 19 2020 libtcmalloc_minimal.so.4 -> libtcmalloc_minimal.so.4.5.3 -rw-r--r-- 1 root root 160K Feb 19 2020 libtcmalloc_minimal.so.4.5.3 lrwxrwxrwx 1 root root 34 Feb 19 2020 libtcmalloc_minimal_debug.so.4 -> libtcmalloc_minimal_debug.so.4.5.3 -rw-r--r-- 1 root root 212K Feb 19 2020 libtcmalloc_minimal_debug.so.4.5.3 lrwxrwxrwx 1 root root 15 Nov 1 2021 libtdb.so.1 -> libtdb.so.1.4.3 -rw-r--r-- 1 root root 99K Nov 1 2021 libtdb.so.1.4.3 -rw-r--r-- 1 root root 39K Feb 24 19:42 libthread_db-1.0.so lrwxrwxrwx 1 root root 39 Feb 24 19:42 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 19 Feb 24 19:42 libthread_db.so.1 -> libthread_db-1.0.so lrwxrwxrwx 1 root root 13 Feb 26 2020 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 67K Feb 26 2020 libtic.so.5.9 lrwxrwxrwx 1 root root 13 Feb 26 2020 libtic.so.6 -> libtic.so.6.2 -rw-r--r-- 1 root root 67K Feb 26 2020 libtic.so.6.2 lrwxrwxrwx 1 root root 15 Feb 26 2020 libtinfo.so.5 -> libtinfo.so.5.9 -rw-r--r-- 1 root root 180K Feb 26 2020 libtinfo.so.5.9 lrwxrwxrwx 1 root root 15 Feb 26 2020 libtinfo.so.6 -> libtinfo.so.6.2 -rw-r--r-- 1 root root 188K Feb 26 2020 libtinfo.so.6.2 lrwxrwxrwx 1 root root 16 May 29 2021 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 8.7M May 29 2021 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.9K May 29 2021 libtsan_preinit.o lrwxrwxrwx 1 root root 17 May 29 2021 libubsan.so.1 -> libubsan.so.1.0.0 -rw-r--r-- 1 root root 3.0M May 29 2021 libubsan.so.1.0.0 lrwxrwxrwx 1 root root 17 Jan 10 2022 libudev.so.1 -> libudev.so.1.6.17 -rw-r--r-- 1 root root 175K Jan 10 2022 libudev.so.1.6.17 lrwxrwxrwx 1 root root 21 Jul 11 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.6M Jul 11 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 27 Mar 22 2020 libunwind-coredump.so.0 -> libunwind-coredump.so.0.0.0 -rw-r--r-- 1 root root 18K Mar 22 2020 libunwind-coredump.so.0.0.0 lrwxrwxrwx 1 root root 25 Mar 22 2020 libunwind-ptrace.so.0 -> libunwind-ptrace.so.0.0.0 -rw-r--r-- 1 root root 15K Mar 22 2020 libunwind-ptrace.so.0.0.0 lrwxrwxrwx 1 root root 25 Mar 22 2020 libunwind-x86_64.so.8 -> libunwind-x86_64.so.8.0.1 -rw-r--r-- 1 root root 75K Mar 22 2020 libunwind-x86_64.so.8.0.1 lrwxrwxrwx 1 root root 18 Mar 22 2020 libunwind.so.8 -> libunwind.so.8.0.1 -rw-r--r-- 1 root root 55K Mar 22 2020 libunwind.so.8.0.1 -rw-r--r-- 1 root root 15K Feb 24 19:42 libutil-2.31.so -rw-r--r-- 1 root root 15K Feb 24 19:42 libutil.a lrwxrwxrwx 1 root root 34 Feb 24 19:42 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 15 Feb 24 19:42 libutil.so.1 -> libutil-2.31.so lrwxrwxrwx 1 root root 16 Feb 7 2022 libuuid.so.1 -> libuuid.so.1.3.0 -rw-r--r-- 1 root root 31K Feb 7 2022 libuuid.so.1.3.0 lrwxrwxrwx 1 root root 18 Dec 9 2019 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 179K Dec 9 2019 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Dec 9 2019 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 679K Dec 9 2019 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Dec 9 2019 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 38K Dec 9 2019 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.1 -rw-r--r-- 1 root root 171K Jan 5 2021 libwavpack.so.1.2.1 lrwxrwxrwx 1 root root 16 Mar 30 2020 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 163K Mar 30 2020 libwind.so.0.0.0 -rw-r--r-- 1 root root 144K Mar 26 18:20 libz.a lrwxrwxrwx 1 root root 36 Mar 26 18:20 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.11 lrwxrwxrwx 1 root root 14 Mar 26 18:20 libz.so.1 -> libz.so.1.2.11 -rw-r--r-- 1 root root 107K Mar 26 18:20 libz.so.1.2.11 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.4.4 -rw-r--r-- 1 root root 671K Mar 3 2021 libzstd.so.1.4.4 drwxr-xr-x 5 root root 4.0K Apr 11 18:31 perl drwxr-xr-x 16 root root 4.0K Apr 5 05:02 perl-base drwxr-xr-x 1 root root 4.0K Apr 17 00:18 pkgconfig -rw-r--r-- 1 root root 1.9K Feb 24 19:42 rcrt1.o drwxr-xr-x 2 root root 4.0K Apr 11 18:49 rsocket drwxr-xr-x 2 root root 4.0K Apr 11 18:31 sasl2 drwxr-xr-x 2 root root 4.0K Apr 5 05:02 security drwxr-xr-x 2 root root 4.0K Apr 17 00:06 sox [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 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 1c0a5fd598db6d1aa8931f957a850641f689f195397d8da53f7adc32f8b4e241 $ docker rm -f 1c0a5fd598db6d1aa8931f957a850641f689f195397d8da53f7adc32f8b4e241 [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-4291 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +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/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing 757fa36e206b08749b3b2c3d56c254cd24839992 Checking out Revision 757fa36e206b08749b3b2c3d56c254cd24839992 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 757fa36e206b08749b3b2c3d56c254cd24839992 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 757fa36e206b08749b3b2c3d56c254cd24839992 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace > 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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 1910bbdda041423b87fe40cc5aacba9f3bb8e5f5 Checking out Revision 1910bbdda041423b87fe40cc5aacba9f3bb8e5f5 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4291\.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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 1910bbdda041423b87fe40cc5aacba9f3bb8e5f5 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 1910bbdda041423b87fe40cc5aacba9f3bb8e5f5 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Still waiting to schedule task Waiting for next available executor on ‘dglci-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 ‘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’ 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 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4291\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 [04:32:01] C:\Jenkins\workspace\dgl_PR-4291\src\rpc\network\msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (1 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (10 ms) [----------] 3 tests from MessageQueueTest (11 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv [ OK ] SocketCommunicatorTest.SendAndRecv (9000 ms) [----------] 1 test from SocketCommunicatorTest (9000 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 (1 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (2 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 (1 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (1 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (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 (216 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (35 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (16 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (7 ms) [ RUN ] RowwiseTest.TestCOOSampling [ OK ] RowwiseTest.TestCOOSampling (2890 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (485 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling [ OK ] RowwiseTest.TestCOOerEtypeSampling (3389 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2234 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (4 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (27 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (10 ms) [----------] 11 tests from RowwiseTest (9313 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (2505 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (7445 ms) [----------] 3 tests from SampleUtilsTest (9950 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 (48 ms) [----------] 3 tests from RandomTest (49 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (0 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (4 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (6 ms) [----------] 4 tests from Serialize (11 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 (6 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 (9 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (2 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 (39 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (15 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 (75 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (7 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (7 ms) [----------] 7 tests from UniGraphTest (26 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (28443 ms total) [ PASSED ] 89 tests. 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] } Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 Merge succeeded, producing 6db7fe98493385121a2d2b0f1b9dca7e808a1457 Checking out Revision 6db7fe98493385121a2d2b0f1b9dca7e808a1457 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 6db7fe98493385121a2d2b0f1b9dca7e808a1457 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 6db7fe98493385121a2d2b0f1b9dca7e808a1457 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing b0b0cf260668fd142809c65eb7b65b3c568b38d0 Checking out Revision b0b0cf260668fd142809c65eb7b65b3c568b38d0 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4291\.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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b0b0cf260668fd142809c65eb7b65b3c568b38d0 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 b0b0cf260668fd142809c65eb7b65b3c568b38d0 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4291/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-4291>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-4291-5\lib\site-packages (5.9.1) 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: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: pluggy<2.0,>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (0.13.1) Requirement already satisfied: iniconfig in c:\program files\python36\lib\site-packages (from pytest) (1.0.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) Requirement already satisfied: python-dateutil>=2.7.3 in c:\program files\python36\lib\site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in c:\program files\python36\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Requirement already satisfied: zipp>=0.5 in c:\program files\python36\lib\site-packages (from importlib-metadata>=0.12->pytest) (3.1.0) Installing collected packages: isodate, rdflib Successfully installed isodate-0.6.1 rdflib-5.0.0 ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4291-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4291 collecting ... collected 3675 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] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] SKIPPED [ 0%] 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SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] 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 [ 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] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] 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[ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt SKIPPED (Do not su...) [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc SKIPPED (Do not support wi...) [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 26%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 26%] tests/pytorch/test_nn.py::test_set2set PASSED [ 26%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 26%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 26%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 50%] tests/pytorch/test_nn.py::test_sequential PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 52%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 52%] tests/pytorch/test_nn.py::test_twirls PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1] SKIPPED (Do not sup...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[4] SKIPPED (Do not sup...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[101] SKIPPED (Do not s...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1024] SKIPPED (Do not ...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] SKIPPED (...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (D...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] SKIPPED (D...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] SKIPPED (...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (D...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] SKIPPED (D...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 99%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 99%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 99%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (D...) [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [100%] ============================== warnings summary =============================== python\dgl\backend\backend.py:1741 C:\Jenkins\workspace\dgl_PR-4291\python\dgl\backend\backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/pytorch/test_dataloader.py::test_shadow[0] 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: 48 warnings C:\Jenkins\workspace\dgl_PR-4291\python\dgl\dataloading\dataloader.py:82: 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-4291\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-4291\python\dgl\nn\pytorch\glob.py:700: 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-4291\python\dgl\nn\pytorch\glob.py:701: 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-4291\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: C:\Jenkins\workspace\dgl_PR-4291\pytest_backend.xml --- ============================ slowest 100 durations ============================ 11.42s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 10.91s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 10.74s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 10.73s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 10.70s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 10.65s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 10.63s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 10.63s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 10.62s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 10.62s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 10.59s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 10.57s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 10.55s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 10.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 8.50s call tests/pytorch/test_dataloader.py::test_shadow[0] 7.32s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 7.23s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 7.22s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 7.16s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 4.09s call tests/pytorch/test_dataloader.py::test_shadow[4] 4.00s call tests/pytorch/test_dataloader.py::test_saint[node-4] 3.89s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 3.60s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 3.21s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] 3.13s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] 2.80s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] 2.77s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] 2.73s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] 2.62s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] 2.48s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] 2.46s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] 2.46s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] 2.42s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] 2.40s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] 2.29s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] 2.27s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] 2.25s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] 2.22s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] 2.17s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] 2.08s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] 2.07s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] 2.01s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] 2.00s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] 1.99s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] 1.98s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] 1.97s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] 1.91s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] 1.87s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.85s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 1.72s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] 1.68s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] 1.68s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 1.67s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.67s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] 1.66s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.66s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 1.65s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 1.65s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 1.65s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 1.65s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.65s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] 1.64s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 1.64s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 1.64s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.63s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 1.63s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 1.63s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 1.63s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.59s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] 1.59s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] 1.56s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] 1.55s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 1.55s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.55s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.53s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.52s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 1.52s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] 1.51s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] 1.48s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] 1.47s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] 1.42s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 1.40s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] 1.35s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] 1.28s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] 1.26s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] 1.25s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] 1.20s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] 1.19s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] 1.15s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] 1.13s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] 1.13s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 1.12s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] ========= 3516 passed, 159 skipped, 66 warnings in 542.24s (0:09:02) ========== ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4291-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4291 collecting ... collected 2435 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%] 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tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +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/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 405b3fddfd8a45ec66892f008884589c1000eb27 Checking out Revision 405b3fddfd8a45ec66892f008884589c1000eb27 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 405b3fddfd8a45ec66892f008884589c1000eb27 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 405b3fddfd8a45ec66892f008884589c1000eb27 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark > 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_v220629 cu101_v220629: Pulling from dgllib/dgl-ci-gpu Digest: sha256:55b598f5ea8f26ea0286265bc3ce4521d2cc6eaeecaf2b28d16de7807b23dac2 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220629 docker.io/dgllib/dgl-ci-gpu:cu101_v220629 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220629 cat $ docker top dbffd18c736438f124a6c06025db3d28eec733a3d3fdc5bcbe2cebea7c1da691 -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 python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@74b3b26e; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 86c9c31f5cd9d9aecd6c13c53a08b93f0a6f28f7 Checking out Revision 86c9c31f5cd9d9aecd6c13c53a08b93f0a6f28f7 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 86c9c31f5cd9d9aecd6c13c53a08b93f0a6f28f7 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 86c9c31f5cd9d9aecd6c13c53a08b93f0a6f28f7 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 5%] tests/compute/test_data.py::test_reddit Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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] sh + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4291 ~/jenkins/workspace/dgl_PR-4291/build ~/jenkins/workspace/dgl_PR-4291 total 285M -rwxr-xr-x 1 root root 282M Aug 17 04:23 libdgl.so -rwxr-xr-x 1 root root 2.5M Aug 17 04:24 runUnitTests drwxr-xr-x 3 root root 4.0K Aug 17 04:46 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4291@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 [04:46:01] /root/jenkins/workspace/dgl_PR-4291@2/src/rpc/network/msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (7 ms) [----------] 3 tests from MessageQueueTest (7 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv [ OK ] SocketCommunicatorTest.SendAndRecv (7001 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12002 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (177 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (530 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 (1 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (712 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 (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 (339 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (345 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (18 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (24 ms) [----------] 2 tests from PartitionTest (42 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (12 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (14 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (8 ms) [ RUN ] RowwiseTest.TestCOOSampling [ OK ] RowwiseTest.TestCOOSampling (290 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (48 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling [ OK ] RowwiseTest.TestCOOerEtypeSampling (3869 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2690 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (6 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (5 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (6946 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (3244 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4164 ms) [----------] 3 tests from SampleUtilsTest (7408 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (16 ms) [----------] 3 tests from RandomTest (17 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (0 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (0 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (0 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (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 (1 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (4 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (0 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (11 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (1 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (2 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (1 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (1 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (53 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (6 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (1 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (2 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (87 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 (12 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 (13 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (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. (27585 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4291 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 dbffd18c736438f124a6c06025db3d28eec733a3d3fdc5bcbe2cebea7c1da691 $ docker rm -f dbffd18c736438f124a6c06025db3d28eec733a3d3fdc5bcbe2cebea7c1da691 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing 4c46215738feac20d0943006194e5b320463ab30 Checking out Revision 4c46215738feac20d0943006194e5b320463ab30 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 4c46215738feac20d0943006194e5b320463ab30 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 4c46215738feac20d0943006194e5b320463ab30 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220629 cu101_v220629: Pulling from dgllib/dgl-ci-gpu Digest: sha256:55b598f5ea8f26ea0286265bc3ce4521d2cc6eaeecaf2b28d16de7807b23dac2 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220629 docker.io/dgllib/dgl-ci-gpu:cu101_v220629 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220629 cat $ docker top 2d8bd0acf983d8452c38630502c359c2951faa7933933eff54e92a7e591dce16 -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 python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@69eb4c63; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 6fc13eabfefd7f7f9eb42353259d0fe8c791d2c5 Checking out Revision 6fc13eabfefd7f7f9eb42353259d0fe8c791d2c5 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 6fc13eabfefd7f7f9eb42353259d0fe8c791d2c5 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 6fc13eabfefd7f7f9eb42353259d0fe8c791d2c5 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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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 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... collected 2435 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 [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) 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tests/compute/test_heterograph.py::test_more_nnz[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_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 [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] 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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 [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack 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 [ 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%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] 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tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 5%] tests/compute/test_data.py::test_explain_syn 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Not su...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 Cleaning workspace Fetching without tags PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] Merge succeeded, producing bd078019f8703b5bef8bb984ad5ea2df2acae44f Checking out Revision bd078019f8703b5bef8bb984ad5ea2df2acae44f (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f bd078019f8703b5bef8bb984ad5ea2df2acae44f # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 bd078019f8703b5bef8bb984ad5ea2df2acae44f # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] 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] { [Pipeline] sh 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] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 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] $ docker top e38d97fca435f565a46530e41a4c36540d81639c7f19cd66d75be02ee3cf7666 -eo pid,comm 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] [Pipeline] { [Pipeline] sh PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4912c0e5; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] Fetching without tags 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] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] Merge succeeded, producing 63e8af12e8d65d24d318f0d8cd7200d41fae7ce6 Checking out Revision 63e8af12e8d65d24d318f0d8cd7200d41fae7ce6 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 63e8af12e8d65d24d318f0d8cd7200d41fae7ce6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 63e8af12e8d65d24d318f0d8cd7200d41fae7ce6 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] [Pipeline] sh PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 71%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... 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] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291@2 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] Cleaning workspace Fetching without tags PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing 31fa011c5c0528bb9738e16922ba32bf963e2905 Checking out Revision 31fa011c5c0528bb9738e16922ba32bf963e2905 (PR-4291) PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 31fa011c5c0528bb9738e16922ba32bf963e2905 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 31fa011c5c0528bb9738e16922ba32bf963e2905 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] 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] { [Pipeline] sh PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4291@2 -v /root/jenkins/workspace/dgl_PR-4291@2:/root/jenkins/workspace/dgl_PR-4291@2:rw,z -v /root/jenkins/workspace/dgl_PR-4291@2@tmp:/root/jenkins/workspace/dgl_PR-4291@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] $ docker top 31d5c4d76ee8b11cedcf2e79540ea6f525f4b5c7c0fb7f2b623ac9d068bfdda4 -eo pid,comm Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/xbyak'... [Pipeline] { PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] sh PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4ad0a00a; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/METIS/GKlib'... Fetching without tags PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Merge succeeded, producing a7a9bc55a4891fd8bb60fbe9183f5b1c49e6c587 Checking out Revision a7a9bc55a4891fd8bb60fbe9183f5b1c49e6c587 (PR-4291) PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a7a9bc55a4891fd8bb60fbe9183f5b1c49e6c587 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 a7a9bc55a4891fd8bb60fbe9183f5b1c49e6c587 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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] [Pipeline] sh PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] + git submodule update --recursive --init Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291@2/third_party/METIS'... 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 [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/cub'... PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/dlpack'... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/dmlc-core'... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/googletest'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/libxsmm'... 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-4291/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-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-4291/third_party/thrust/dependencies/cub'... PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-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-4291/third_party/tvm/3rdparty/dlpack'... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/vta-hw'... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] sh PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4291 ~/jenkins/workspace/dgl_PR-4291/build ~/jenkins/workspace/dgl_PR-4291 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] total 15M -rwxr-xr-x 1 root root 12M Aug 17 04:16 libdgl.so -rwxr-xr-x 1 root root 2.4M Aug 17 04:16 runUnitTests drwxr-xr-x 3 root root 4.0K Aug 17 04:52 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4291/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 [04:52:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (15 ms) [----------] 3 tests from MessageQueueTest (15 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] [ OK ] SocketCommunicatorTest.SendAndRecv (7007 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/nanoflann'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/nccl'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (1 ms) [----------] 3 tests from SocketCommunicatorTest (12009 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (1 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (2 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (1 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (1 ms) [----------] 2 tests from SliceContiguousChunk (1 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (1 ms) [----------] 2 tests from MatrixUnionTest (1 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (0 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (2 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/phmap'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/thrust'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm'... PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/xbyak'... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/METIS/GKlib'... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] 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-4291@2/third_party/tensorpipe/third_party/googletest'... 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/libnop'... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/libuv'... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tensorpipe/third_party/pybind11'... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 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-4291@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 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-4291@2/third_party/thrust/dependencies/cub'... 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-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-4291@2/third_party/tvm/3rdparty/dlpack'... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/rang'... [ OK ] RowwiseTest.TestCSRSampling (21908 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@2/third_party/tvm/3rdparty/vta-hw'... 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] 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' PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython SKIPPED (Cython only works on...) [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] [Pipeline] unstash PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 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] [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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 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_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%]+ bash tests/scripts/task_unit_test.sh tensorflow cpu PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 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 [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (7.0.1) PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Using cached ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pydantic) (0.8) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (1.18.5) PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce [ OK ] RowwiseTest.TestCSRSamplingUniform (4357 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (12 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (6 ms) [ RUN ] RowwiseTest.TestCOOSampling PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] Collecting pytz>=2017.2 Downloading pytz-2022.2.1-py2.py3-none-any.whl (500 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: six in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 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[ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) 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[ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.6/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 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-4291/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-4291/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-4291/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291/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-4291/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-4291/python/dgl/heterograph_index.py:777: 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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4291/python/dgl/data/graph_serialize.py:179: 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-4291/python/dgl/transforms/functional.py:1193: 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-4291/python/dgl/transforms/functional.py:1196: 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-4291/pytest_compute.xml -- ============================ slowest 100 durations ============================= 37.19s call tests/compute/test_kernel.py::test_all_binary_builtins 3.79s call tests/compute/test_heterograph.py::test_forking_pickler 1.01s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.91s call tests/compute/test_graph.py::test_query 0.70s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.64s call tests/compute/test_heterograph.py::test_query[idtype1] 0.56s call tests/compute/test_heterograph.py::test_query[idtype0] 0.51s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.47s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.34s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.34s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.33s call tests/compute/test_kernel.py::test_copy_src_reduce 0.29s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.29s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.28s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.25s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.25s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.25s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.24s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.23s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.23s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.23s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.23s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.23s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.23s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.23s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.23s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.23s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.23s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 0.22s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 0.22s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] ========= 2225 passed, 210 skipped, 194 warnings in 289.35s (0:04:49) ========== Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/tensorflow-ci/lib/python3.6/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/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: importlib-resources in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Installing collected packages: threadpoolctl, pytz, littleutils, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb 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 [ 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 [ 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 [ 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 [ 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 [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[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 [ 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 [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 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 [ 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 [ 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 [ 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 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 [ 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 [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 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 [ 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 [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 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 [ 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 [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 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 [ 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 [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 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 [ 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 [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 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 [ 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 [ 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 [ 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 [ 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] 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/python3.6/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.6/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 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-4291/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-4291/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-4291/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.32s 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[8] 0.12s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.07s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.07s 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[min-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[myagg-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] 0.04s 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-gcn-idtype0] 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[2-pool-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] 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-pool-idtype1] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] 0.04s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_simple_pool 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-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[4-1-g2-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_glob_att_pool 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[1-2-g0-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[1-2-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-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[4-1-g4-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-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[4-2-g3-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-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[4-1-g3-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-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[4-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_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[1-2-g1-idtype0] 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[4-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] ====================== 920 passed, 13 warnings in 14.06s ======================= [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 2d8bd0acf983d8452c38630502c359c2951faa7933933eff54e92a7e591dce16 $ docker rm -f 2d8bd0acf983d8452c38630502c359c2951faa7933933eff54e92a7e591dce16 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +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/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing b50ff8f1df64e011621c1351f163d41a75241fc3 Checking out Revision b50ff8f1df64e011621c1351f163d41a75241fc3 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b50ff8f1df64e011621c1351f163d41a75241fc3 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 b50ff8f1df64e011621c1351f163d41a75241fc3 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220629 Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.2 pytz-2022.2.1 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/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291@2 collecting ... cu101_v220629: Pulling from dgllib/dgl-ci-gpu Digest: sha256:55b598f5ea8f26ea0286265bc3ce4521d2cc6eaeecaf2b28d16de7807b23dac2 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220629 docker.io/dgllib/dgl-ci-gpu:cu101_v220629 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220629 cat $ docker top ad7129dab638393eeafa5bbaf0e0f9d2ebec85faaec8e7eefbdc26ea48ec655d -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh + nvidia-smi Wed Aug 17 04:53:18 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 44C 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 Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291@3 [Pipeline] { [Pipeline] checkout + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@6bb9883b; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 34af0a07c898f3382cf457cbe8f2a5ba8df9c6c5 Checking out Revision 34af0a07c898f3382cf457cbe8f2a5ba8df9c6c5 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 34af0a07c898f3382cf457cbe8f2a5ba8df9c6c5 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 34af0a07c898f3382cf457cbe8f2a5ba8df9c6c5 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] 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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cleaning workspace Fetching without tags collected 2435 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing b3a2bd8110e02df6b9b42436d37430b7e6357922 Checking out Revision b3a2bd8110e02df6b9b42436d37430b7e6357922 (PR-4291) 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 PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b3a2bd8110e02df6b9b42436d37430b7e6357922 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 b3a2bd8110e02df6b9b42436d37430b7e6357922 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] [Pipeline] sh > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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 [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... 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] } PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] [Pipeline] // withEnv Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4291@3 -v /root/jenkins/workspace/dgl_PR-4291@3:/root/jenkins/workspace/dgl_PR-4291@3:rw,z -v /root/jenkins/workspace/dgl_PR-4291@3@tmp:/root/jenkins/workspace/dgl_PR-4291@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat 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] $ docker top c7a9e671f52055bd0256c9e58e7c72f88ce3d8eaf770f611f62ed0421ec4bc9f -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch CPU Unit test) [Pipeline] sh PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@e0e167e; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] Fetching without tags Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... 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] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 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 [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 22%] 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 [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] Merge succeeded, producing 987f7da58126fe952f1c2934642121fa579daaef Checking out Revision 987f7da58126fe952f1c2934642121fa579daaef (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 987f7da58126fe952f1c2934642121fa579daaef # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 987f7da58126fe952f1c2934642121fa579daaef # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] [Pipeline] sh PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291@3/third_party/METIS'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/cub'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%]PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/dlpack'... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/dmlc-core'... 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/googletest'... 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Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tensorpipe'... 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Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/xbyak'... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] 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-4291@3/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/xbyak'... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] 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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] 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-4291@3/third_party/tensorpipe/third_party/googletest'... PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] 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-4291/third_party/tensorpipe/third_party/googletest'... PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] 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PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tensorpipe/third_party/libuv'... PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] 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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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] 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tests/compute/test_specialization.py::test_v2v_update_all[idtype1] [ OK ] RowwiseTest.TestCOOSampling (77394 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... 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] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected 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-4291/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes 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-4291/third_party/thrust/dependencies/cub'... PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 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] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] 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tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tensorpipe/third_party/pybind11'... 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: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4291\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-4291\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-4291\python\dgl\core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291\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-4291\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-4291\python\dgl\heterograph_index.py:777: 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-4291\python\dgl\data\citation_graph.py:287: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset c:\program files\python36\lib\site-packages\numpy\lib\arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset C:\Jenkins\workspace\dgl_PR-4291\python\dgl\data\csv_dataset_base.py:298: 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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\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-4291\python\dgl\backend\pytorch\tensor.py:277: 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-4291\python\dgl\backend\pytorch\tensor.py:569: 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-4291\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-4291\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-4291\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-4291\python\dgl\_ffi\_ctypes\function.py:116: ComplexWarning: Casting complex values to real discards the imaginary part values[i].v_float64 = arg tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph C:\Jenkins\workspace\dgl_PR-4291\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-4291\python\dgl\data\graph_serialize.py:179: 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-4291\python\dgl\transforms\functional.py:1193: 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-4291\python\dgl\transforms\functional.py:1196: 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-4291\python\dgl\transforms\functional.py:1245: 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-4291\python\dgl\backend\pytorch\tensor.py:44: 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-4291\pytest_compute.xml --- ============================ slowest 100 durations ============================ 204.95s call tests/compute/test_data.py::test_reddit 64.91s call tests/compute/test_data.py::test_as_graphpred_ogb 61.07s call tests/compute/test_data.py::test_fakenews 60.67s call tests/compute/test_data.py::test_gin 59.99s call tests/compute/test_data.py::test_as_graphpred 25.72s call tests/compute/test_data.py::test_tudataset_regression 22.64s call tests/compute/test_data.py::test_gnn_benchmark 22.58s call tests/compute/test_data.py::test_as_graphpred_reprocess 19.95s call tests/compute/test_data.py::test_as_linkpred_ogb 17.83s call tests/compute/test_kernel.py::test_all_binary_builtins 17.20s call tests/compute/test_data.py::test_explain_syn 12.64s call tests/compute/test_sampler.py::test_negative_sampler 10.80s call tests/compute/test_data.py::test_as_nodepred_ogb 6.09s call tests/compute/test_data.py::test_add_nodepred_split 5.97s call tests/compute/test_data.py::test_fraud 5.87s call tests/compute/test_data.py::test_citation_graph 5.35s call tests/compute/test_data.py::test_wiki_cs 4.38s call tests/compute/test_data.py::test_flickr 2.12s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 1.37s call tests/compute/test_heterograph.py::test_forking_pickler 1.36s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.36s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.09s call tests/compute/test_transform.py::test_reorder_nodes 1.08s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.02s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.91s call tests/compute/test_data.py::test_csvdataset 0.66s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.63s call tests/compute/test_graph.py::test_query 0.63s call tests/compute/test_data.py::test_as_nodepred2 0.61s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.56s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.56s call tests/compute/test_kernel.py::test_copy_src_reduce 0.46s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.41s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.38s call tests/compute/test_heterograph.py::test_query[idtype0] 0.36s call tests/compute/test_data.py::test_as_nodepred1 0.35s call tests/compute/test_heterograph.py::test_query[idtype1] 0.24s call tests/compute/test_data.py::test_as_linkpred 0.24s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.22s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 0.18s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] 0.17s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.17s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.16s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.15s 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_heterograph.py::test_view1[idtype0] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] 0.14s call tests/compute/test_sort.py::test_sort_with_tag[idtype0] 0.14s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.14s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] 0.12s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.12s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] 0.12s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.10s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] 0.10s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.09s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.09s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.09s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.09s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.09s call tests/compute/test_transform.py::test_remove_nodes[idtype1] 0.09s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.09s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.09s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 0.09s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.09s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 0.09s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] 0.09s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.08s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.08s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.08s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.08s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.08s call tests/compute/test_transform.py::test_khop_graph 0.08s call tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] 0.08s call tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] 0.07s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.07s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] 0.07s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] ========= 2379 passed, 56 skipped, 337 warnings in 701.19s (0:11:41) ========== 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-4291/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... [Pipeline] } Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... [Pipeline] // timeout [Pipeline] } Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Example test) [Pipeline] checkout The recommended git tool is: git using credential github Fetching changes from the remote Git repository Cleaning workspace 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-4291@3/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/vta-hw'... > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4291\.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 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 Fetching without tags [ OK ] RowwiseTest.TestCOOSamplingUniform (9798 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 9ada801b573e3362897e2bb2aa76d3b6fb53d7c6 Checking out Revision 9ada801b573e3362897e2bb2aa76d3b6fb53d7c6 (PR-4291) 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 GitHub Access Token > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 9ada801b573e3362897e2bb2aa76d3b6fb53d7c6 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 9ada801b573e3362897e2bb2aa76d3b6fb53d7c6 # timeout=10 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-4291@3/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tvm/3rdparty/dmlc-core'... Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] bat > 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-4291>git submodule update --recursive --init Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@3/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] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch gpu + bash tests/scripts/task_unit_test.sh pytorch cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (7.0.1) Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) [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 Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4291>CALL tests\scripts\task_example_test.bat cpu Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.1.5) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.3.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (0.8) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2022.1) Requirement already satisfied: six in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.9.0+cu102) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.24.2) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.2.1) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: importlib-resources in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.1.5) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.3.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: dataclasses>=0.6 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pydantic) (0.8) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas) (2022.1) Requirement already satisfied: six in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.24.2) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (0.2.1) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.9.0+cpu) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/pytorch-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/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Installing collected packages: isodate, rdflib, pyyaml, pydantic, psutil Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: importlib-resources in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-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/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Installing collected packages: isodate, rdflib, pyyaml, pydantic, psutil Successfully installed isodate-0.6.1 psutil-5.9.1 pydantic-1.9.2 pyyaml-6.0 rdflib-5.0.0 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 C:\Jenkins\workspace\dgl_PR-4291\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([0.0066, 0.0141, 0.0127, 0.0070, 0.0133, 0.0087, 0.0137, 0.0103, 0.0131, 0.0121, 0.0178, 0.0139, 0.0034, 0.0185, 0.0161, 0.0081, 0.0015, 0.0069, 0.0072, 0.0033, 0.0035, 0.0082, 0.0084, 0.0088, 0.0149, 0.0141, 0.0103, 0.0117, 0.0083, 0.0066, 0.0083, 0.0066, 0.0033, 0.0117, 0.0101, 0.0124, 0.0117, 0.0101, 0.0068, 0.0135, 0.0120, 0.0159, 0.0117, 0.0134, 0.0070, 0.0072, 0.0066, 0.0099, 0.0068, 0.0072, 0.0118, 0.0067, 0.0067, 0.0130, 0.0124, 0.0119, 0.0086, 0.0053, 0.0172, 0.0086, 0.0104, 0.0068, 0.0086, 0.0087, 0.0081, 0.0154, 0.0134, 0.0118, 0.0103, 0.0071, 0.0086, 0.0143, 0.0151, 0.0084, 0.0065, 0.0119, 0.0194, 0.0038, 0.0116, 0.0081, 0.0147, 0.0050, 0.0118, 0.0052, 0.0145, 0.0067, 0.0102, 0.0034, 0.0101, 0.0085, 0.0114, 0.0051, 0.0115, 0.0114, 0.0083, 0.0113, 0.0105, 0.0050, 0.0166, 0.0048]) Successfully installed isodate-0.6.1 psutil-5.9.1 pydantic-1.9.2 pyyaml-6.0 rdflib-5.0.0 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 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291@3 collecting ... collected 2435 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] Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4291\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4291\cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9460 | Accuracy 0.1520 Epoch 00001 | Loss 1.9401 | Accuracy 0.3100 Epoch 00002 | Loss 1.9327 | Accuracy 0.3320 Epoch 00003 | Loss 1.9244 | Accuracy 0.3820 Epoch 00004 | Loss 1.9159 | Accuracy 0.4700 Epoch 00005 | Loss 1.9051 | Accuracy 0.5600 Epoch 00006 | Loss 1.8990 | Accuracy 0.5780 Epoch 00007 | Loss 1.8862 | Accuracy 0.6180 Epoch 00008 | Loss 1.8749 | Accuracy 0.6380 Epoch 00009 | Loss 1.8616 | Accuracy 0.6460 Epoch 00010 | Loss 1.8516 | Accuracy 0.6500 Epoch 00011 | Loss 1.8403 | Accuracy 0.6600 Epoch 00012 | Loss 1.8318 | Accuracy 0.6680 Epoch 00013 | Loss 1.8106 | Accuracy 0.6720 Epoch 00014 | Loss 1.8098 | Accuracy 0.6840 Epoch 00015 | Loss 1.7817 | Accuracy 0.7040 Epoch 00016 | Loss 1.7726 | Accuracy 0.6980 Epoch 00017 | Loss 1.7664 | Accuracy 0.6900 Epoch 00018 | Loss 1.7458 | Accuracy 0.6980 Epoch 00019 | Loss 1.7283 | Accuracy 0.7060 Epoch 00020 | Loss 1.7151 | Accuracy 0.7140 Epoch 00021 | Loss 1.6917 | Accuracy 0.7200 Epoch 00022 | Loss 1.6602 | Accuracy 0.7260 Epoch 00023 | Loss 1.6702 | Accuracy 0.7240 Epoch 00024 | Loss 1.6376 | Accuracy 0.7240 Epoch 00025 | Loss 1.6263 | Accuracy 0.7180 Epoch 00026 | Loss 1.5832 | Accuracy 0.7160 Epoch 00027 | Loss 1.5888 | Accuracy 0.7140 Epoch 00028 | Loss 1.5579 | Accuracy 0.7100 Epoch 00029 | Loss 1.5615 | Accuracy 0.7080 Epoch 00030 | Loss 1.5310 | Accuracy 0.7000 Epoch 00031 | Loss 1.5273 | Accuracy 0.6960 Epoch 00032 | Loss 1.4915 | Accuracy 0.7000 Epoch 00033 | Loss 1.4871 | Accuracy 0.7080 Epoch 00034 | Loss 1.4527 | Accuracy 0.7060 Epoch 00035 | Loss 1.4115 | Accuracy 0.7120 Epoch 00036 | Loss 1.4401 | Accuracy 0.7200 Epoch 00037 | Loss 1.4151 | Accuracy 0.7280 Epoch 00038 | Loss 1.3773 | Accuracy 0.7380 Epoch 00039 | Loss 1.3271 | Accuracy 0.7400 Epoch 00040 | Loss 1.3698 | Accuracy 0.7440 Epoch 00041 | Loss 1.3235 | Accuracy 0.7420 Epoch 00042 | Loss 1.2832 | Accuracy 0.7480 Epoch 00043 | Loss 1.2267 | Accuracy 0.7480 Epoch 00044 | Loss 1.2502 | Accuracy 0.7540 Epoch 00045 | Loss 1.2339 | Accuracy 0.7620 Epoch 00046 | Loss 1.2205 | Accuracy 0.7600 Epoch 00047 | Loss 1.2018 | Accuracy 0.7600 Epoch 00048 | Loss 1.1811 | Accuracy 0.7600 Epoch 00049 | Loss 1.1601 | Accuracy 0.7640 Epoch 00050 | Loss 1.1475 | Accuracy 0.7680 Epoch 00051 | Loss 1.1375 | Accuracy 0.7700 Epoch 00052 | Loss 1.0846 | Accuracy 0.7680 Epoch 00053 | Loss 1.1058 | Accuracy 0.7700 Epoch 00054 | Loss 1.1245 | Accuracy 0.7760 Epoch 00055 | Loss 1.0870 | Accuracy 0.7720 Epoch 00056 | Loss 1.0714 | Accuracy 0.7760 Epoch 00057 | Loss 1.0281 | Accuracy 0.7740 Epoch 00058 | Loss 0.9696 | Accuracy 0.7740 Epoch 00059 | Loss 0.9956 | Accuracy 0.7740 Epoch 00060 | Loss 0.9991 | Accuracy 0.7740 Epoch 00061 | Loss 0.9789 | Accuracy 0.7740 Epoch 00062 | Loss 0.9285 | Accuracy 0.7740 Epoch 00063 | Loss 0.9319 | Accuracy 0.7660 Epoch 00064 | Loss 0.9224 | Accuracy 0.7720 Epoch 00065 | Loss 0.8986 | Accuracy 0.7780 Epoch 00066 | Loss 0.9156 | Accuracy 0.7820 Epoch 00067 | Loss 0.8725 | Accuracy 0.7840 Epoch 00068 | Loss 0.8664 | Accuracy 0.7780 Epoch 00069 | Loss 0.8478 | Accuracy 0.7800 Epoch 00070 | Loss 0.8325 | Accuracy 0.7800 Epoch 00071 | Loss 0.8371 | Accuracy 0.7800 Epoch 00072 | Loss 0.7613 | Accuracy 0.7860 Epoch 00073 | Loss 0.8169 | Accuracy 0.7860 Epoch 00074 | Loss 0.8045 | Accuracy 0.7800 Epoch 00075 | Loss 0.8027 | Accuracy 0.7720 Epoch 00076 | Loss 0.7349 | Accuracy 0.7740 Epoch 00077 | Loss 0.7439 | Accuracy 0.7720 Epoch 00078 | Loss 0.7805 | Accuracy 0.7740 Epoch 00079 | Loss 0.7185 | Accuracy 0.7700 Epoch 00080 | Loss 0.7508 | Accuracy 0.7760 Epoch 00081 | Loss 0.7227 | Accuracy 0.7780 Epoch 00082 | Loss 0.6839 | Accuracy 0.7780 Epoch 00083 | Loss 0.7099 | Accuracy 0.7840 Epoch 00084 | Loss 0.6448 | Accuracy 0.7840 Epoch 00085 | Loss 0.7074 | Accuracy 0.7820 Epoch 00086 | Loss 0.6477 | Accuracy 0.7860 Epoch 00087 | Loss 0.6580 | Accuracy 0.7780 Epoch 00088 | Loss 0.6286 | Accuracy 0.7780 Epoch 00089 | Loss 0.6831 | Accuracy 0.7740 Epoch 00090 | Loss 0.6360 | Accuracy 0.7700 Epoch 00091 | Loss 0.6295 | Accuracy 0.7680 Epoch 00092 | Loss 0.6173 | Accuracy 0.7700 Epoch 00093 | Loss 0.6361 | Accuracy 0.7760 Epoch 00094 | Loss 0.6741 | Accuracy 0.7760 Epoch 00095 | Loss 0.6161 | Accuracy 0.7780 Epoch 00096 | Loss 0.5955 | Accuracy 0.7840 Epoch 00097 | Loss 0.6197 | Accuracy 0.7840 Epoch 00098 | Loss 0.5985 | Accuracy 0.7840 Epoch 00099 | Loss 0.5658 | Accuracy 0.7820 Epoch 00100 | Loss 0.5909 | Accuracy 0.7820 Epoch 00101 | Loss 0.6066 | Accuracy 0.7760 Epoch 00102 | Loss 0.5662 | Accuracy 0.7780 Epoch 00103 | Loss 0.5409 | Accuracy 0.7780 Epoch 00104 | Loss 0.5566 | Accuracy 0.7760 Epoch 00105 | Loss 0.5531 | Accuracy 0.7760 Epoch 00106 | Loss 0.5504 | Accuracy 0.7760 Epoch 00107 | Loss 0.5583 | Accuracy 0.7780 Epoch 00108 | Loss 0.5605 | Accuracy 0.7760 Epoch 00109 | Loss 0.5011 | Accuracy 0.7740 Epoch 00110 | Loss 0.5114 | Accuracy 0.7740 Epoch 00111 | Loss 0.4989 | Accuracy 0.7740 Epoch 00112 | Loss 0.5547 | Accuracy 0.7720 Epoch 00113 | Loss 0.5237 | Accuracy 0.7720 Epoch 00114 | Loss 0.5239 | Accuracy 0.7720 Epoch 00115 | Loss 0.5194 | Accuracy 0.7720 Epoch 00116 | Loss 0.5339 | Accuracy 0.7740 Epoch 00117 | Loss 0.5061 | Accuracy 0.7740 Epoch 00118 | Loss 0.5007 | Accuracy 0.7760 Epoch 00119 | Loss 0.5076 | Accuracy 0.7820 Epoch 00120 | Loss 0.4744 | Accuracy 0.7840 Epoch 00121 | Loss 0.5183 | Accuracy 0.7780 Epoch 00122 | Loss 0.4616 | Accuracy 0.7780 Epoch 00123 | Loss 0.4311 | Accuracy 0.7740 Epoch 00124 | Loss 0.5140 | Accuracy 0.7740 Epoch 00125 | Loss 0.4833 | Accuracy 0.7740 Epoch 00126 | Loss 0.5024 | Accuracy 0.7740 Epoch 00127 | Loss 0.4409 | Accuracy 0.7720 Epoch 00128 | Loss 0.4473 | Accuracy 0.7740 Epoch 00129 | Loss 0.4957 | Accuracy 0.7780 Epoch 00130 | Loss 0.4212 | Accuracy 0.7800 Epoch 00131 | Loss 0.5007 | Accuracy 0.7800 Epoch 00132 | Loss 0.4352 | Accuracy 0.7840 Epoch 00133 | Loss 0.4406 | Accuracy 0.7840 Epoch 00134 | Loss 0.4699 | Accuracy 0.7800 Epoch 00135 | Loss 0.4422 | Accuracy 0.7800 Epoch 00136 | Loss 0.4443 | Accuracy 0.7800 Epoch 00137 | Loss 0.4521 | Accuracy 0.7780 Epoch 00138 | Loss 0.4274 | Accuracy 0.7780 Epoch 00139 | Loss 0.4081 | Accuracy 0.7780 Epoch 00140 | Loss 0.4538 | Accuracy 0.7780 Epoch 00141 | Loss 0.4570 | Accuracy 0.7800 Epoch 00142 | Loss 0.4487 | Accuracy 0.7780 Epoch 00143 | Loss 0.4200 | Accuracy 0.7760 Epoch 00144 | Loss 0.4183 | Accuracy 0.7760 Epoch 00145 | Loss 0.4089 | Accuracy 0.7780 Epoch 00146 | Loss 0.4164 | Accuracy 0.7780 Epoch 00147 | Loss 0.3824 | Accuracy 0.7820 Epoch 00148 | Loss 0.4222 | Accuracy 0.7800 Epoch 00149 | Loss 0.4339 | Accuracy 0.7780 Epoch 00150 | Loss 0.4313 | Accuracy 0.7780 Epoch 00151 | Loss 0.4089 | Accuracy 0.7780 Epoch 00152 | Loss 0.3985 | Accuracy 0.7780 Epoch 00153 | Loss 0.3945 | Accuracy 0.7740 Epoch 00154 | Loss 0.3938 | Accuracy 0.7740 Epoch 00155 | Loss 0.3750 | Accuracy 0.7780 Epoch 00156 | Loss 0.4440 | Accuracy 0.7760 Epoch 00157 | Loss 0.4192 | Accuracy 0.7780 Epoch 00158 | Loss 0.4021 | Accuracy 0.7760 Epoch 00159 | Loss 0.3853 | Accuracy 0.7800 Epoch 00160 | Loss 0.4078 | Accuracy 0.7820 Epoch 00161 | Loss 0.3881 | Accuracy 0.7800 Epoch 00162 | Loss 0.3911 | Accuracy 0.7820 Epoch 00163 | Loss 0.4250 | Accuracy 0.7800 Epoch 00164 | Loss 0.3875 | Accuracy 0.7800 Epoch 00165 | Loss 0.3980 | Accuracy 0.7760 Epoch 00166 | Loss 0.4397 | Accuracy 0.7780 Epoch 00167 | Loss 0.3442 | Accuracy 0.7780 Epoch 00168 | Loss 0.4049 | Accuracy 0.7780 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 0.3531 | Accuracy 0.7780 Epoch 00170 | Loss 0.3540 | Accuracy 0.7800 Epoch 00171 | Loss 0.3870 | Accuracy 0.7800 Epoch 00172 | Loss 0.3213 | Accuracy 0.7820 Epoch 00173 | Loss 0.3704 | Accuracy 0.7840 Epoch 00174 | Loss 0.3790 | Accuracy 0.7820 Epoch 00175 | Loss 0.3564 | Accuracy 0.7840 Epoch 00176 | Loss 0.3751 | Accuracy 0.7820 Epoch 00177 | Loss 0.3558 | Accuracy 0.7820 Epoch 00178 | Loss 0.3706 | Accuracy 0.7820 Epoch 00179 | Loss 0.3801 | Accuracy 0.7820 Epoch 00180 | Loss 0.4138 | Accuracy 0.7820 Epoch 00181 | Loss 0.4005 | Accuracy 0.7780 Epoch 00182 | Loss 0.3347 | Accuracy 0.7740 Epoch 00183 | Loss 0.3562 | Accuracy 0.7760 Epoch 00184 | Loss 0.3517 | Accuracy 0.7780 Epoch 00185 | Loss 0.3604 | Accuracy 0.7800 Epoch 00186 | Loss 0.4087 | Accuracy 0.7820 Epoch 00187 | Loss 0.3824 | Accuracy 0.7800 Epoch 00188 | Loss 0.3590 | Accuracy 0.7820 Epoch 00189 | Loss 0.3372 | Accuracy 0.7840 Epoch 00190 | Loss 0.3450 | Accuracy 0.7800 Epoch 00191 | Loss 0.3303 | Accuracy 0.7820 Epoch 00192 | Loss 0.3699 | Accuracy 0.7820 Epoch 00193 | Loss 0.3691 | Accuracy 0.7820 Epoch 00194 | Loss 0.3342 | Accuracy 0.7780 Epoch 00195 | Loss 0.3680 | Accuracy 0.7760 Epoch 00196 | Loss 0.3252 | Accuracy 0.7760 Epoch 00197 | Loss 0.3462 | Accuracy 0.7840 Epoch 00198 | Loss 0.3543 | Accuracy 0.7840 Epoch 00199 | Loss 0.3056 | Accuracy 0.7900 Testing... Test accuracy 0.7990 collected 2435 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 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%] 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tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] 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 [ 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 [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 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_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb 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] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] [Pipeline] // stage [Pipeline] } PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews [ OK ] RowwiseTest.TestCOOerEtypeSampling (47610 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] 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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 [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (28067 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (354 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (993 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (3595 ms) [----------] 11 tests from RowwiseTest (194097 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (2668 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] PASSED [ 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3755 ms) [----------] 3 tests from SampleUtilsTest (6423 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (9 ms) [----------] 3 tests from RandomTest (10 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (61 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (48 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (46 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (91 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 (1 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (1 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (374 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (10 ms) [ RUN ] SpmatTest.COOGetData PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 29%] 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] [ OK ] SpmatTest.COOGetData (76 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (14 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 (6 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] 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] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 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] [ OK ] SpmatTest.TestCSRSliceRows (662 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (3 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (8 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (1153 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (0 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (2 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (53 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (183 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (51 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] 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] [ OK ] UniGraphTest.TestUnitGraph_Reserve (117 ms) [----------] 7 tests from UniGraphTest (404 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (1 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (42 ms) [----------] 4 tests from ZeroCopySerialize (43 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (214411 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4291 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] 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] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 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] 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 e38d97fca435f565a46530e41a4c36540d81639c7f19cd66d75be02ee3cf7666 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] 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%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] $ docker rm -f e38d97fca435f565a46530e41a4c36540d81639c7f19cd66d75be02ee3cf7666 PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] 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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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] PASSED [ 94%] tests/compute/test_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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 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] 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tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] 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/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 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%]Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1741: 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_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-4291/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-4291/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-4291/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291/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-4291/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-4291/python/dgl/heterograph_index.py:777: 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_as_nodepred_ogb tests/compute/test_data.py::test_as_nodepred_ogb /opt/conda/envs/pytorch-ci/lib/python3.6/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] /root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/python/dgl/backend/pytorch/tensor.py:277: 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-4291/python/dgl/backend/pytorch/tensor.py:569: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4291/python/dgl/data/graph_serialize.py:179: 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-4291/python/dgl/transforms/functional.py:1193: 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-4291/python/dgl/transforms/functional.py:1196: 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-4291/python/dgl/backend/pytorch/tensor.py:44: 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-4291/pytest_compute.xml -- ============================ slowest 100 durations ============================= 27.65s call tests/compute/test_data.py::test_as_graphpred_ogb 12.37s call tests/compute/test_data.py::test_as_linkpred_ogb 7.71s call tests/compute/test_sampler.py::test_negative_sampler 7.55s call tests/compute/test_data.py::test_as_nodepred_ogb 3.47s call tests/compute/test_kernel.py::test_all_binary_builtins 1.48s call tests/compute/test_heterograph.py::test_forking_pickler 0.67s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.44s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.30s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.25s call tests/compute/test_graph.py::test_query 0.21s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.21s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.20s call tests/compute/test_heterograph.py::test_query[idtype0] 0.20s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.20s call tests/compute/test_heterograph.py::test_query[idtype1] 0.18s call tests/compute/test_sampling.py::test_non_uniform_random_walk[True] 0.18s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 0.18s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.13s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.13s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.13s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.13s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.13s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.12s call tests/compute/test_kernel.py::test_copy_src_reduce 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.09s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.09s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.08s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.08s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.07s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.06s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.06s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.04s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.04s call tests/compute/test_transform.py::test_remove_nodes[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_specialization.py::test_v2v_pull[idtype0] 0.04s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.04s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.04s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.04s call tests/compute/test_transform.py::test_remove_edges[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_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_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype0] 0.03s call tests/compute/test_heterograph.py::test_format[idtype0] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.03s call tests/compute/test_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.03s call tests/compute/test_transform.py::test_to_block[idtype0] 0.03s call tests/compute/test_heterograph.py::test_convert[idtype0] 0.03s call tests/compute/test_heterograph.py::test_convert[idtype1] 0.03s call tests/compute/test_sampler.py::test_setseed 0.02s call tests/compute/test_transform.py::test_to_block[idtype1] 0.02s call tests/compute/test_serialize.py::test_load_old_files1 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype0] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype1] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_sampler.py::test_layer_sampler 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 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_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_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 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_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_float_cast 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.02s call tests/compute/test_transform.py::test_module_sign[g0] 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.02s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 0.02s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.02s call tests/compute/test_heterograph.py::test_remove_edges[idtype0] 0.02s call tests/compute/test_transform.py::test_add_selfloop[idtype0] 0.02s call tests/compute/test_heterograph.py::test_remove_edges[idtype1] 0.02s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype1] 0.01s call tests/compute/test_removal.py::test_edge_removal[idtype0] ========== 2327 passed, 108 skipped, 207 warnings in 87.09s (0:01:27) ========== Merge succeeded, producing 331f4b1fe4163f81afc1b0fa5f431d9b158c1822 Checking out Revision 331f4b1fe4163f81afc1b0fa5f431d9b158c1822 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 331f4b1fe4163f81afc1b0fa5f431d9b158c1822 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 331f4b1fe4163f81afc1b0fa5f431d9b158c1822 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:cu101_v220629 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] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat $ docker top a1676bd4a6c1cf2178c77024cec1142a3edcf6e27b29b8714171af5ce11a7f22 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Distributed Torch CPU Unit test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@530aa158; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing b839956837abe4a056ec087038fb7a30be090403 Checking out Revision b839956837abe4a056ec087038fb7a30be090403 (PR-4291) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f b839956837abe4a056ec087038fb7a30be090403 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 b839956837abe4a056ec087038fb7a30be090403 # timeout=10 Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] sh + git submodule update --recursive --init collected 3675 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... > 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-4291/third_party/cub'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] PASSED [ 0%] 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tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] 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'/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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_distributed_test.sh pytorch cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.1.5) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (1.3.3) Collecting filelock Downloading filelock-3.4.1-py3-none-any.whl (9.9 kB) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement 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tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: importlib-resources in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/envs/pytorch-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/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (2021.5.30) Installing collected packages: isodate, rdflib, pyyaml, pydantic, psutil, filelock Successfully installed filelock-3.4.1 isodate-0.6.1 psutil-5.9.1 pydantic-1.9.2 pyyaml-6.0 rdflib-5.0.0 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 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... run graph store with port 6553 collected 55 items tests/distributed/test_dist_graph_store.py::test_server_client Converting to homogeneous graph takes 0.004s, peak mem: 1.403 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.403 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.403 GB [04:56:53] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56463 edge cuts Metis partitioning: 0.049 seconds, peak memory: 1.403 GB Assigning nodes to METIS partitions takes 0.056s, peak mem: 1.403 GB Save partitions: 0.004 seconds, peak memory: 1.403 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") start client 1 [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. load dist_graph_test_2 start server 0 start graph service on server 0 for part 0 [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25114]... start client 2 [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:56:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start client 3 [04:56:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:56:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [04:56:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:56:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291@4 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] Client [1114] waits on 172.17.0.2:55891 Client [1128] waits on 172.17.0.2:54991 Client [1122] waits on 172.17.0.2:42499 Client [1136] waits on 172.17.0.2:54061 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 14%] 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tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] Cleaning workspace Fetching without tags PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 14%] 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tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 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git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f f95f11fb472eddd6b2ae1da5ac6a7e3de1818738 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 f95f11fb472eddd6b2ae1da5ac6a7e3de1818738 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 25%] 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tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 28%] 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PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 29%] 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tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] 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] { [Pipeline] sh PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-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 -w /root/jenkins/workspace/dgl_PR-4291@4 -v /root/jenkins/workspace/dgl_PR-4291@4:/root/jenkins/workspace/dgl_PR-4291@4:rw,z -v /root/jenkins/workspace/dgl_PR-4291@4@tmp:/root/jenkins/workspace/dgl_PR-4291@4@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 41%] 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tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] [Pipeline] stage [Pipeline] { (MXNet CPU Unit test) [Pipeline] sh Converting to homogeneous graph takes 0.009s, peak mem: 1.416 GB Save partitions: 0.005 seconds, peak memory: 1.416 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 43%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load dist_graph_test_1 start server 0 start graph service on server 0 for part 0 [04:57:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22052]... [04:57:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 45%] 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tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@347297a9; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 47%] 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51%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[mean-idtype1] Merge succeeded, producing da39277ccc9216eb004933dcf508cd7ebbda927b Checking out Revision da39277ccc9216eb004933dcf508cd7ebbda927b (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f da39277ccc9216eb004933dcf508cd7ebbda927b # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 da39277ccc9216eb004933dcf508cd7ebbda927b # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] [Pipeline] sh PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-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/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291@4/third_party/METIS'... > git clean -fdx # timeout=10 PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/cub'... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] Client [1178] waits on 172.17.0.2:50599 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] clients have terminated Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/dlpack'... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/dmlc-core'... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/googletest'... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/libxsmm'... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 52%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 52%] tests/pytorch/test_nn.py::test_twirls PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] 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tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] Converting to homogeneous graph takes 0.010s, peak mem: 1.418 GB Save partitions: 0.027 seconds, peak memory: 1.418 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [04:57:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load dist_graph_test_3 start server 0 start graph service on server 0 for part 0 [04:57:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13933]... 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tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] 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PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/nccl'... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/phmap'... PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] Client [1200] waits on 172.17.0.2:35425 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tensorpipe'... PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 75%] 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tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/thrust'... PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tvm'... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/xbyak'... PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/METIS/GKlib'... PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tensorpipe/third_party/googletest'... PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] Converting to homogeneous graph takes 0.008s, peak mem: 1.426 GB Save partitions: 0.020 seconds, peak memory: 1.426 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [04:57:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load dist_graph_test_3 start server 0 start graph service on server 0 for part 0 [04:57:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21231]... Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tensorpipe/third_party/libnop'... PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tensorpipe/third_party/libuv'... PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tensorpipe/third_party/pybind11'... PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] 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-4291@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] 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-4291@4/third_party/thrust/dependencies/cub'... PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] 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PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 94%] 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PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] 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-4291@4/third_party/tvm/3rdparty/dlpack'... PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] Client [1224] waits on 172.17.0.2:60525 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tvm/3rdparty/rang'... PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291@4/third_party/tvm/3rdparty/vta-hw'... PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] 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' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 96%] 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bash tests/scripts/task_unit_test.sh mxnet cpu PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 98%] 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[ 5%] tests/compute/test_data.py::test_flickr PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[4] Converting to homogeneous graph takes 0.004s, peak mem: 1.429 GB Save partitions: 0.008 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] Collecting ogb Using cached ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] Collecting pytz>=2017.2 Downloading pytz-2022.2.1-py2.py3-none-any.whl (500 kB) Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] Collecting torch>=1.6.0 Downloading 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tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] [04:57:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load check_server_client_True_1_1_1 start server 0 start graph service on server 0 for part 0 [04:57:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:57:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12424]... PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 99%] tests/pytorch/test_stream.py::test_basics PASSED [ 99%] tests/pytorch/test_unified_tensor.py::test_unified_tensor PASSED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb Client [1244] waits on 172.17.0.2:36963 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (1.26.9) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: 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) 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: idna<4,>=2.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: 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) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb PASSED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [100%] =============================== warnings summary =============================== tests/pytorch/test_dataloader.py: 308 warnings /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/pytorch/test_dataloader.py: 128 warnings /root/jenkins/workspace/dgl_PR-4291/python/dgl/dataloading/dataloader.py:82: 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-4291/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-4291/python/dgl/nn/pytorch/glob.py:700: 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-4291/python/dgl/nn/pytorch/glob.py:701: 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-4291/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-4291/pytest_backend.xml -- ============================ slowest 100 durations ============================= 25.89s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.32s call tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] 5.19s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 2.51s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 2.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.82s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.34s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.24s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.19s 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-neighbor-idtype1] 1.14s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.13s call tests/pytorch/test_ipc.py::test_torch_ipc 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.11s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.08s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.08s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.06s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.04s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 1.04s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 0.84s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.84s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.83s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.73s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.71s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.70s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.66s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.64s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.54s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.51s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-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-g2-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.49s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.46s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.33s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.26s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.22s call tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] 0.22s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 0.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.20s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.20s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-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-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 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_excludes[50-sampler1-reverse_types-True] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.14s 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_excludes[50-sampler1-reverse_types-False] 0.14s 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] 0.10s call tests/pytorch/test_unified_tensor.py::test_unified_tensor 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] ========== 3634 passed, 41 skipped, 452 warnings in 136.80s (0:02:16) ========== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cluster_gcn.pkl cmake conda cora_full cora_full.zip dataset dglgo docker docs examples featgraph include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt pytest_backend.xml pytest_compute.xml python readthedocs.yml src tensoradapter tests third_party tools tutorials Converting to homogeneous graph takes 0.003s, peak mem: 1.429 GB Save partitions: 0.008 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred [04:58:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load check_server_client_False_1_1_1 start server 0 start graph service on server 0 for part 0 [04:58:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13713]... [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@10f8c35; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 0e93e25cd7b871799fa83e501b70709e16e601aa Checking out Revision 0e93e25cd7b871799fa83e501b70709e16e601aa (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 0e93e25cd7b871799fa83e501b70709e16e601aa # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 0e93e25cd7b871799fa83e501b70709e16e601aa # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs > 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 path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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 path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset Client [1264] waits on 172.17.0.2:36991 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 1%] tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split [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 /root/jenkins/workspace/dgl_PR-4291/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([0.0121, 0.0089, 0.0087, 0.0107, 0.0090, 0.0130, 0.0067, 0.0070, 0.0133, 0.0146, 0.0015, 0.0054, 0.0094, 0.0090, 0.0070, 0.0052, 0.0052, 0.0155, 0.0126, 0.0067, 0.0067, 0.0131, 0.0040, 0.0095, 0.0125, 0.0070, 0.0165, 0.0112, 0.0051, 0.0087, 0.0090, 0.0110, 0.0073, 0.0158, 0.0086, 0.0123, 0.0103, 0.0121, 0.0067, 0.0125, 0.0088, 0.0095, 0.0111, 0.0128, 0.0127, 0.0160, 0.0086, 0.0040, 0.0094, 0.0088, 0.0092, 0.0144, 0.0122, 0.0111, 0.0161, 0.0141, 0.0053, 0.0072, 0.0107, 0.0105, 0.0122, 0.0135, 0.0142, 0.0150, 0.0095, 0.0089, 0.0036, 0.0109, 0.0126, 0.0144, 0.0070, 0.0071, 0.0090, 0.0109, 0.0033, 0.0106, 0.0094, 0.0055, 0.0052, 0.0052, 0.0069, 0.0165, 0.0085, 0.0111, 0.0052, 0.0105, 0.0062, 0.0131, 0.0123, 0.0131, 0.0105, 0.0052, 0.0141, 0.0095, 0.0068, 0.0196, 0.0140, 0.0061, 0.0088, 0.0115]) Converting to homogeneous graph takes 0.004s, peak mem: 1.429 GB Save partitions: 0.006 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [04:58:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load check_dist_emb_True_1_1_1 start server 0 start graph service on server 0 for part 0 [04:58:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27235]... PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.2 pytz-2022.2.1 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-4291@4 collecting ... Client [1284] waits on 172.17.0.2:40535 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4291/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4291/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 1.9459 | Accuracy 0.2380 Epoch 00001 | Loss 1.9390 | Accuracy 0.2540 Epoch 00002 | Loss 1.9327 | Accuracy 0.4280 Epoch 00003 | Loss 1.9228 | Accuracy 0.5280 Epoch 00004 | Loss 1.9128 | Accuracy 0.5000 Epoch 00005 | Loss 1.9028 | Accuracy 0.4900 Epoch 00006 | Loss 1.8936 | Accuracy 0.5300 Epoch 00007 | Loss 1.8854 | Accuracy 0.6260 Epoch 00008 | Loss 1.8674 | Accuracy 0.6840 Epoch 00009 | Loss 1.8638 | Accuracy 0.7120 Epoch 00010 | Loss 1.8527 | Accuracy 0.7160 Epoch 00011 | Loss 1.8300 | Accuracy 0.7160 Epoch 00012 | Loss 1.8222 | Accuracy 0.7240 Epoch 00013 | Loss 1.8086 | Accuracy 0.7220 Epoch 00014 | Loss 1.7952 | Accuracy 0.7220 Epoch 00015 | Loss 1.7736 | Accuracy 0.7320 Epoch 00016 | Loss 1.7692 | Accuracy 0.7400 Epoch 00017 | Loss 1.7663 | Accuracy 0.7340 Epoch 00018 | Loss 1.7332 | Accuracy 0.7360 Epoch 00019 | Loss 1.7276 | Accuracy 0.7380 Epoch 00020 | Loss 1.7112 | Accuracy 0.7360 Epoch 00021 | Loss 1.6940 | Accuracy 0.7420 Epoch 00022 | Loss 1.6666 | Accuracy 0.7360 Epoch 00023 | Loss 1.6413 | Accuracy 0.7380 Epoch 00024 | Loss 1.6320 | Accuracy 0.7440 Epoch 00025 | Loss 1.6076 | Accuracy 0.7420 Epoch 00026 | Loss 1.5790 | Accuracy 0.7380 Epoch 00027 | Loss 1.5868 | Accuracy 0.7360 Epoch 00028 | Loss 1.5421 | Accuracy 0.7400 Epoch 00029 | Loss 1.5402 | Accuracy 0.7420 Epoch 00030 | Loss 1.5291 | Accuracy 0.7480 Epoch 00031 | Loss 1.4857 | Accuracy 0.7600 Epoch 00032 | Loss 1.4647 | Accuracy 0.7640 Epoch 00033 | Loss 1.4340 | Accuracy 0.7760 Epoch 00034 | Loss 1.4168 | Accuracy 0.7780 Epoch 00035 | Loss 1.4023 | Accuracy 0.7780 Epoch 00036 | Loss 1.3839 | Accuracy 0.7800 Epoch 00037 | Loss 1.3915 | Accuracy 0.7700 Epoch 00038 | Loss 1.3268 | Accuracy 0.7660 Epoch 00039 | Loss 1.3425 | Accuracy 0.7620 Epoch 00040 | Loss 1.2733 | Accuracy 0.7620 Epoch 00041 | Loss 1.2569 | Accuracy 0.7620 Epoch 00042 | Loss 1.2497 | Accuracy 0.7640 Epoch 00043 | Loss 1.2249 | Accuracy 0.7620 Epoch 00044 | Loss 1.2159 | Accuracy 0.7660 Epoch 00045 | Loss 1.1918 | Accuracy 0.7700 Epoch 00046 | Loss 1.1632 | Accuracy 0.7720 Epoch 00047 | Loss 1.1350 | Accuracy 0.7720 Epoch 00048 | Loss 1.1126 | Accuracy 0.7740 Epoch 00049 | Loss 1.0878 | Accuracy 0.7780 Epoch 00050 | Loss 1.0887 | Accuracy 0.7800 Epoch 00051 | Loss 1.0852 | Accuracy 0.7780 Epoch 00052 | Loss 1.0604 | Accuracy 0.7780 Epoch 00053 | Loss 1.0243 | Accuracy 0.7760 Epoch 00054 | Loss 0.9878 | Accuracy 0.7780 Epoch 00055 | Loss 0.9883 | Accuracy 0.7780 Epoch 00056 | Loss 0.9602 | Accuracy 0.7800 Epoch 00057 | Loss 0.9564 | Accuracy 0.7800 Epoch 00058 | Loss 0.9378 | Accuracy 0.7840 Epoch 00059 | Loss 0.9213 | Accuracy 0.7860 Epoch 00060 | Loss 0.9221 | Accuracy 0.7880 Epoch 00061 | Loss 0.8525 | Accuracy 0.7840 Epoch 00062 | Loss 0.8795 | Accuracy 0.7820 Epoch 00063 | Loss 0.8762 | Accuracy 0.7820 Epoch 00064 | Loss 0.8381 | Accuracy 0.7780 Epoch 00065 | Loss 0.8597 | Accuracy 0.7720 Epoch 00066 | Loss 0.8391 | Accuracy 0.7780 Epoch 00067 | Loss 0.8040 | Accuracy 0.7780 Epoch 00068 | Loss 0.8041 | Accuracy 0.7800 Epoch 00069 | Loss 0.8256 | Accuracy 0.7800 Epoch 00070 | Loss 0.7719 | Accuracy 0.7860 Epoch 00071 | Loss 0.7590 | Accuracy 0.7880 Epoch 00072 | Loss 0.7343 | Accuracy 0.7880 Epoch 00073 | Loss 0.7707 | Accuracy 0.7880 Epoch 00074 | Loss 0.7107 | Accuracy 0.7880 Epoch 00075 | Loss 0.7288 | Accuracy 0.7940 Epoch 00076 | Loss 0.7268 | Accuracy 0.7920 Epoch 00077 | Loss 0.6926 | Accuracy 0.7880 Epoch 00078 | Loss 0.6788 | Accuracy 0.7800 Epoch 00079 | Loss 0.6647 | Accuracy 0.7840 Epoch 00080 | Loss 0.6604 | Accuracy 0.7840 Epoch 00081 | Loss 0.6642 | Accuracy 0.7840 Epoch 00082 | Loss 0.6382 | Accuracy 0.7840 Epoch 00083 | Loss 0.6394 | Accuracy 0.7840 Epoch 00084 | Loss 0.6817 | Accuracy 0.7840 Epoch 00085 | Loss 0.6407 | Accuracy 0.7900 Epoch 00086 | Loss 0.6298 | Accuracy 0.7940 Epoch 00087 | Loss 0.6001 | Accuracy 0.7940 Epoch 00088 | Loss 0.6010 | Accuracy 0.7960 Epoch 00089 | Loss 0.5686 | Accuracy 0.7860 Epoch 00090 | Loss 0.6306 | Accuracy 0.7880 Epoch 00091 | Loss 0.5781 | Accuracy 0.7880 Epoch 00092 | Loss 0.6246 | Accuracy 0.7920 Epoch 00093 | Loss 0.5591 | Accuracy 0.7920 Epoch 00094 | Loss 0.6259 | Accuracy 0.7920 Epoch 00095 | Loss 0.5437 | Accuracy 0.7880 Epoch 00096 | Loss 0.5805 | Accuracy 0.7880 Epoch 00097 | Loss 0.5062 | Accuracy 0.7880 Epoch 00098 | Loss 0.5359 | Accuracy 0.7860 Epoch 00099 | Loss 0.5941 | Accuracy 0.7760 Epoch 00100 | Loss 0.5265 | Accuracy 0.7780 Epoch 00101 | Loss 0.5321 | Accuracy 0.7800 Epoch 00102 | Loss 0.5325 | Accuracy 0.7780 Epoch 00103 | Loss 0.5484 | Accuracy 0.7780 Epoch 00104 | Loss 0.5165 | Accuracy 0.7800 Epoch 00105 | Loss 0.5191 | Accuracy 0.7820 Epoch 00106 | Loss 0.5243 | Accuracy 0.7820 Epoch 00107 | Loss 0.5348 | Accuracy 0.7840 Epoch 00108 | Loss 0.5165 | Accuracy 0.7900 Epoch 00109 | Loss 0.5061 | Accuracy 0.7920 Epoch 00110 | Loss 0.5083 | Accuracy 0.7920 Epoch 00111 | Loss 0.4879 | Accuracy 0.7920 Epoch 00112 | Loss 0.5011 | Accuracy 0.7880 Epoch 00113 | Loss 0.4537 | Accuracy 0.7900 Epoch 00114 | Loss 0.4393 | Accuracy 0.7960 Epoch 00115 | Loss 0.4793 | Accuracy 0.7940 Epoch 00116 | Loss 0.4894 | Accuracy 0.7900 Epoch 00117 | Loss 0.4784 | Accuracy 0.7880 Epoch 00118 | Loss 0.4664 | Accuracy 0.7840 Epoch 00119 | Loss 0.4972 | Accuracy 0.7860 Epoch 00120 | Loss 0.4371 | Accuracy 0.7840 Epoch 00121 | Loss 0.4574 | Accuracy 0.7840 Epoch 00122 | Loss 0.4570 | Accuracy 0.7860 Epoch 00123 | Loss 0.4663 | Accuracy 0.7840 Epoch 00124 | Loss 0.4293 | Accuracy 0.7840 Epoch 00125 | Loss 0.4149 | Accuracy 0.7860 Epoch 00126 | Loss 0.4124 | Accuracy 0.7860 Epoch 00127 | Loss 0.4329 | Accuracy 0.7840 Epoch 00128 | Loss 0.4495 | Accuracy 0.7840 Epoch 00129 | Loss 0.4311 | Accuracy 0.7840 Epoch 00130 | Loss 0.4221 | Accuracy 0.7800 Epoch 00131 | Loss 0.4108 | Accuracy 0.7780 Epoch 00132 | Loss 0.4571 | Accuracy 0.7800 Epoch 00133 | Loss 0.4399 | Accuracy 0.7860 Epoch 00134 | Loss 0.3972 | Accuracy 0.7860 Epoch 00135 | Loss 0.4222 | Accuracy 0.7860 Epoch 00136 | Loss 0.4417 | Accuracy 0.7840 Epoch 00137 | Loss 0.4617 | Accuracy 0.7800 Epoch 00138 | Loss 0.3962 | Accuracy 0.7800 Epoch 00139 | Loss 0.4037 | Accuracy 0.7840 Epoch 00140 | Loss 0.4186 | Accuracy 0.7840 Epoch 00141 | Loss 0.3563 | Accuracy 0.7840 Epoch 00142 | Loss 0.3812 | Accuracy 0.7820 Epoch 00143 | Loss 0.3653 | Accuracy 0.7820 Epoch 00144 | Loss 0.3728 | Accuracy 0.7820 Epoch 00145 | Loss 0.3906 | Accuracy 0.7780 Epoch 00146 | Loss 0.3954 | Accuracy 0.7840 Epoch 00147 | Loss 0.3715 | Accuracy 0.7800 Epoch 00148 | Loss 0.4079 | Accuracy 0.7760 Epoch 00149 | Loss 0.3925 | Accuracy 0.7740 Epoch 00150 | Loss 0.3853 | Accuracy 0.7780 Epoch 00151 | Loss 0.3911 | Accuracy 0.7780 Epoch 00152 | Loss 0.3892 | Accuracy 0.7840 Epoch 00153 | Loss 0.3609 | Accuracy 0.7900 Epoch 00154 | Loss 0.3538 | Accuracy 0.7900 Epoch 00155 | Loss 0.3477 | Accuracy 0.7880 Epoch 00156 | Loss 0.3783 | Accuracy 0.7880 Epoch 00157 | Loss 0.3923 | Accuracy 0.7800 Epoch 00158 | Loss 0.3763 | Accuracy 0.7780 Epoch 00159 | Loss 0.3720 | Accuracy 0.7780 Epoch 00160 | Loss 0.3326 | Accuracy 0.7760 Epoch 00161 | Loss 0.3636 | Accuracy 0.7780 Epoch 00162 | Loss 0.3507 | Accuracy 0.7720 Epoch 00163 | Loss 0.3594 | Accuracy 0.7740 Epoch 00164 | Loss 0.3657 | Accuracy 0.7760 Epoch 00165 | Loss 0.3335 | Accuracy 0.7800 Epoch 00166 | Loss 0.3671 | Accuracy 0.7820 Epoch 00167 | Loss 0.3708 | Accuracy 0.7820 Epoch 00168 | Loss 0.3490 | Accuracy 0.7820 Epoch 00169 | Loss 0.3392 | Accuracy 0.7800 Epoch 00170 | Loss 0.3876 | Accuracy 0.7800 Epoch 00171 | Loss 0.3715 | Accuracy 0.7780 Epoch 00172 | Loss 0.3104 | Accuracy 0.7780 Epoch 00173 | Loss 0.3483 | Accuracy 0.7800 Epoch 00174 | Loss 0.3510 | Accuracy 0.7820 Epoch 00175 | Loss 0.3357 | Accuracy 0.7740 Epoch 00176 | Loss 0.3537 | Accuracy 0.7740 Epoch 00177 | Loss 0.3711 | Accuracy 0.7760 Epoch 00178 | Loss 0.3310 | Accuracy 0.7760 Epoch 00179 | Loss 0.3057 | Accuracy 0.7760 Epoch 00180 | Loss 0.3155 | Accuracy 0.7740 Epoch 00181 | Loss 0.3502 | Accuracy 0.7720 Epoch 00182 | Loss 0.3391 | Accuracy 0.7740 Epoch 00183 | Loss 0.3435 | Accuracy 0.7740 Epoch 00184 | Loss 0.3250 | Accuracy 0.7740 Epoch 00185 | Loss 0.3119 | Accuracy 0.7760 Epoch 00186 | Loss 0.3402 | Accuracy 0.7760 Epoch 00187 | Loss 0.3484 | Accuracy 0.7780 Epoch 00188 | Loss 0.3412 | Accuracy 0.7780 Epoch 00189 | Loss 0.3751 | Accuracy 0.7780 Epoch 00190 | Loss 0.3206 | Accuracy 0.7740 Epoch 00191 | Loss 0.3099 | Accuracy 0.7820 Epoch 00192 | Loss 0.3398 | Accuracy 0.7740 Epoch 00193 | Loss 0.2879 | Accuracy 0.7740 Epoch 00194 | Loss 0.3325 | Accuracy 0.7720 Epoch 00195 | Loss 0.3300 | Accuracy 0.7740 Epoch 00196 | Loss 0.3308 | Accuracy 0.7740 Epoch 00197 | Loss 0.3213 | Accuracy 0.7720 Epoch 00198 | Loss 0.2975 | Accuracy 0.7760 Epoch 00199 | Loss 0.3529 | Accuracy 0.7780 Testing... Test accuracy 0.8050 clients have terminated lda/lda_model.py:29: 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, 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, 6.1490e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-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 ad7129dab638393eeafa5bbaf0e0f9d2ebec85faaec8e7eefbdc26ea48ec655d $ docker rm -f ad7129dab638393eeafa5bbaf0e0f9d2ebec85faaec8e7eefbdc26ea48ec655d [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github 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-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 collected 2435 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int64] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int64] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] Converting to homogeneous graph takes 0.004s, peak mem: 1.429 GB Save partitions: 0.008 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[int32] PASSED [ 0%] tests/compute/test_basics.py::test_repr[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int64] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int32] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int64] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int32] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int64] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int32] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing a2b5db0435f1eb5b0db50f5884e2820e37dca585 Checking out Revision a2b5db0435f1eb5b0db50f5884e2820e37dca585 (PR-4291) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a2b5db0435f1eb5b0db50f5884e2820e37dca585 # timeout=10 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] Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 a2b5db0435f1eb5b0db50f5884e2820e37dca585 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int64] [04:58:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load check_dist_emb_False_1_1_1 start server 0 start graph service on server 0 for part 0 [04:58:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:58:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:24048]... PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs1] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int32] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int64] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int64] + docker inspect -f . nvcr.io/nvidia/pytorch:22.04-py3 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int64] dglci-manual-gpu-worker does not seem to be running inside a container > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@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 ******** nvcr.io/nvidia/pytorch:22.04-py3 cat PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%]$ docker top 464744b1b2f84870823a8e3e88d086da052ff9b5090a11c30f0596c8f2508e82 -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] { (PyTorch Cugraph GPU Unit test) [Pipeline] sh tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int64] + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS=510.47.03 ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n 510.47.03 -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + nvidia-smi Wed Aug 17 04:58:31 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 44C P0 29W / 70W | 97MiB / 15360MiB | 3% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1917 C 97MiB | +-----------------------------------------------------------------------------+ PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int32] [Pipeline] sh PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int32] + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS=510.47.03 ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n 510.47.03 -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git 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) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Skip ...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_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 using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@506cfea6; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] SKIPPED (CPU ...) [ 6%] tests/compute/test_filter.py::test_array_filter[int64] SKIPPED (CPU ...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Merge succeeded, producing 5a5c199b17a02a85a6e01cca33a35618d6a963af Checking out Revision 5a5c199b17a02a85a6e01cca33a35618d6a963af (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 5a5c199b17a02a85a6e01cca33a35618d6a963af # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 5a5c199b17a02a85a6e01cca33a35618d6a963af # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS=510.47.03 ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n 510.47.03 -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Client [1305] waits on 172.17.0.2:47017 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 3%] tests/distributed/test_dist_graph_store.py::test_standalone Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int64] 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] Converting to homogeneous graph takes 0.005s, peak mem: 1.429 GB Save partitions: 0.008 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. end Client[-1] in group[-1] is exiting... PASSED [ 5%] tests/distributed/test_dist_graph_store.py::test_standalone_node_emb PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] 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...) [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[int32] SKIPPED (Nee...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[int64] SKIPPED (Nee...) [ 9%] tests/compute/test_heterograph.py::test_updates[int32] Converting to homogeneous graph takes 0.003s, peak mem: 1.429 GB Save partitions: 0.006 seconds, peak memory: 1.429 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 7%] tests/distributed/test_dist_graph_store.py::test_split[True] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] 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 [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce Converting to homogeneous graph takes 0.007s, peak mem: 1.499 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.499 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.499 GB [04:58:54] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 172434 edge cuts Metis partitioning: 0.207 seconds, peak memory: 1.499 GB Assigning nodes to METIS partitions takes 0.225s, peak mem: 1.499 GB Reshuffle nodes and edges: 0.020 seconds Split the graph: 0.067 seconds Construct subgraphs: 0.075 seconds Splitting the graph into partitions takes 0.162s, peak mem: 1.499 GB part 0 has 10000 nodes of type n1 and 2275 are inside the partition part 0 has 9784 nodes of type n2 and 2279 are inside the partition part 0 has 9816 nodes of type n3 and 2280 are inside the partition part 0 has 89067 edges of type r1 and 22433 are inside the partition part 0 has 35482 edges of type r2 and 22360 are inside the partition part 0 has 35970 edges of type r3 and 22697 are inside the partition part 1 has 10000 nodes of type n1 and 2575 are inside the partition part 1 has 9890 nodes of type n2 and 2577 are inside the partition part 1 has 9885 nodes of type n3 and 2580 are inside the partition part 1 has 92835 edges of type r1 and 25828 are inside the partition part 1 has 40921 edges of type r2 and 26137 are inside the partition part 1 has 40538 edges of type r3 and 25963 are inside the partition part 2 has 10000 nodes of type n1 and 2575 are inside the partition part 2 has 9867 nodes of type n2 and 2577 are inside the partition part 2 has 9882 nodes of type n3 and 2580 are inside the partition part 2 has 91888 edges of type r1 and 25689 are inside the partition part 2 has 40720 edges of type r2 and 25771 are inside the partition part 2 has 40387 edges of type r3 and 25592 are inside the partition part 3 has 10000 nodes of type n1 and 2575 are inside the partition part 3 has 9891 nodes of type n2 and 2577 are inside the partition part 3 has 9916 nodes of type n3 and 2580 are inside the partition part 3 has 92943 edges of type r1 and 26150 are inside the partition part 3 has 40823 edges of type r2 and 25932 are inside the partition part 3 has 40777 edges of type r3 and 26048 are inside the partition Save partitions: 0.055 seconds, peak memory: 1.499 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 9%] tests/distributed/test_dist_graph_store.py::test_split[False] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/third_party/METIS/GKlib'... Converting to homogeneous graph takes 0.002s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [04:58:59] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56529 edge cuts Metis partitioning: 0.046 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.005 seconds Split the graph: 0.024 seconds Construct subgraphs: 0.034 seconds Splitting the graph into partitions takes 0.063s, peak mem: 1.541 GB part 0 has 10000 nodes and 2500 are inside the partition part 0 has 91175 edges and 24855 are inside the partition part 1 has 10000 nodes and 2499 are inside the partition part 1 has 91224 edges and 25035 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 92067 edges and 25230 are inside the partition part 3 has 10000 nodes and 2501 are inside the partition part 3 has 91613 edges and 24880 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.541 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' PASSED [ 10%] tests/distributed/test_dist_graph_store.py::test_split_even Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Converting to homogeneous graph takes 0.004s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [04:59:03] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56297 edge cuts Metis partitioning: 0.048 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.053s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.004 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.036 seconds Splitting the graph into partitions takes 0.067s, peak mem: 1.541 GB part 0 has 10000 nodes and 2499 are inside the partition part 0 has 91012 edges and 25211 are inside the partition part 1 has 10000 nodes and 2501 are inside the partition part 1 has 91308 edges and 25069 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91231 edges and 25005 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 90859 edges and 24715 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.541 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1723 nodes and 1694 are in the partition intersection has 1723 part 0 get 17250 edges and 17250 are in the partition intersection has 17250 part 1 get 1723 nodes and 1707 are in the partition intersection has 1723 part 1 get 17249 edges and 17080 are in the partition intersection has 17249 part 2 get 1723 nodes and 1713 are in the partition intersection has 1723 part 2 get 17249 edges and 17130 are in the partition intersection has 17249 part 3 get 1722 nodes and 1722 are in the partition intersection has 1722 part 3 get 17249 edges and 17039 are in the partition intersection has 17249 PASSED [ 12%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges start graph service on server 0 for part 0 [04:59:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17112]... [04:59:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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-4291/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-4291/third_party/thrust/dependencies/cub'... Client [1099] waits on 172.17.0.2:36017 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-4291/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4291/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: 1.541 GB Save partitions: 0.026 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. 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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... [04:59:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] start graph service on server 0 for part 0 [04:59:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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] Client [1099] waits on 172.17.0.2:35833 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 14%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [04:59:15] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 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: 1.541 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type r12 and 531 are inside the partition part 0 has 571 edges of type r13 and 535 are inside the partition part 0 has 554 edges of type r23 and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type r12 and 479 are inside the partition part 1 has 530 edges of type r13 and 495 are inside the partition part 1 has 529 edges of type r23 and 493 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.541 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges start graph service on server 0 for part 0 [04:59:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10819]... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges start graph service on server 1 for part 1 [04:59:17] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:17] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10821]... [04:59:17] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:17] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cugraph-linux [Pipeline] timeout Timeout set to expire in 15 min [Pipeline] { [Pipeline] sh + test -f /etc/shinit_v2 + source /etc/shinit_v2 +++ sed -n 's/^NVRM.*Kernel Module *\([^() ]*\).*$/\1/p' /proc/driver/nvidia/version +++ sed 's/^$/unknown/' ++ NV_DRIVER_VERS=510.47.03 ++ export _CUDA_COMPAT_PATH=/usr/local/cuda/compat ++ _CUDA_COMPAT_PATH=/usr/local/cuda/compat +++ hostname ++ _CUDA_COMPAT_CHECKFILE=/usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ++ _CUDA_COMPAT_REALLIB=/usr/local/cuda/compat/lib.real ++ _CUDA_COMPAT_SYMLINK=/usr/local/cuda/compat/lib ++ '[' -n 510.47.03 -a -e /dev/nvidiactl -a '!' -e /usr/local/cuda/compat/.510.47.03.464744b1b2f8.checked ']' +++ cat /sys/module/mlx5_core/version +++ true ++ _DETECTED_MOFED= ++ '[' -n '' ']' ++ unset _DETECTED_MOFED ++ unset _CUDA_COMPAT_CHECKFILE ++ unset _CUDA_COMPAT_REALLIB ++ unset _CUDA_COMPAT_SYMLINK + '[' -z '' ']' + return + bash tests/scripts/cugraph_unit_test.sh pytorch Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com Requirement already satisfied: pytest in /opt/conda/lib/python3.8/site-packages (6.2.5) Requirement already satisfied: psutil in /opt/conda/lib/python3.8/site-packages (5.9.0) Requirement already satisfied: pyyaml in /opt/conda/lib/python3.8/site-packages (6.0) Requirement already satisfied: pydantic in /opt/conda/lib/python3.8/site-packages (1.8.2) Requirement already satisfied: pandas in /opt/conda/lib/python3.8/site-packages (1.3.5) 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] Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) Collecting ogb Downloading ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: py>=1.8.2 in /opt/conda/lib/python3.8/site-packages (from pytest) (1.11.0) Requirement already satisfied: packaging in /opt/conda/lib/python3.8/site-packages (from pytest) (21.3) Requirement already satisfied: iniconfig in /opt/conda/lib/python3.8/site-packages (from pytest) (1.1.1) Requirement already satisfied: toml in /opt/conda/lib/python3.8/site-packages (from pytest) (0.10.2) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.8/site-packages (from pytest) (21.4.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/lib/python3.8/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.8/site-packages (from pydantic) (4.1.1) Requirement already satisfied: numpy>=1.17.3 in /opt/conda/lib/python3.8/site-packages (from pandas) (1.22.3) Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.8/site-packages (from pandas) (2022.1) 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] Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/lib/python3.8/site-packages (from pandas) (2.8.2) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: setuptools in /opt/conda/lib/python3.8/site-packages (from rdflib) (59.5.0) Requirement already satisfied: pyparsing in /opt/conda/lib/python3.8/site-packages (from rdflib) (3.0.8) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (0.24.2) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (4.64.0) Collecting outdated>=0.2.0 Downloading outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: six>=1.12.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.16.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.26.9) Requirement already satisfied: torch>=1.6.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.12.0a0+bd13bc6) Collecting littleutils Downloading littleutils-0.2.2.tar.gz (6.6 kB) Requirement already satisfied: requests in /opt/conda/lib/python3.8/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/lib/python3.8/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: joblib>=0.11 in /opt/conda/lib/python3.8/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/lib/python3.8/site-packages (from scikit-learn>=0.20.0->ogb) (1.6.3) Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.8/site-packages (from requests->outdated>=0.2.0->ogb) (2.0.12) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.8/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.8/site-packages (from requests->outdated>=0.2.0->ogb) (2021.10.8) Building wheels for collected packages: littleutils Building wheel for littleutils (setup.py): started Building wheel for littleutils (setup.py): finished with status 'done' Created wheel for littleutils: filename=littleutils-0.2.2-py3-none-any.whl size=7048 sha256=80e0c721e69f60d49ae29ffdd6451e7c6ffe4882bc7c244c0cab36012d572f3b Stored in directory: /tmp/pip-ephem-wheel-cache-5zr2zk4t/wheels/6a/33/c4/0ef84d7f5568c2823e3d63a6e08988852fb9e4bc822034870a Successfully built littleutils PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] Client [1099] waits on 172.17.0.2:44971 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [04:59:20] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 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: 0.030 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. Installing collected packages: littleutils, outdated, isodate, rdflib, ogb Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 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 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges start graph service on server 0 for part 0 [04:59:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... 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 (...) [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] ============================= test session starts ============================== platform linux -- Python 3.8.13, pytest-6.2.5, py-1.11.0, pluggy-1.0.0 -- /opt/conda/bin/python3 cachedir: .pytest_cache hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/root/jenkins/workspace/dgl_PR-4291/.hypothesis/examples') rootdir: /root/jenkins/workspace/dgl_PR-4291 plugins: pythonpath-0.7.4, cov-3.0.0, hypothesis-4.50.8 collecting ... [04:59:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_find_edges start graph service on server 1 for part 1 [04:59:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... 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 [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] collected 3 items tests/cugraph/test_basics.py::test_dummy PASSED [ 33%] tests/cugraph/test_basics.py::test_to_cugraph_conversion PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[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 (...) [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 66%] tests/cugraph/test_basics.py::test_from_cugraph_conversion PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1717 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1717: DeprecationWarning: invalid escape sequence \P """Segment reduction operator. ../../../../opt/conda/lib/python3.8/site-packages/cupy/__init__.py:394 ../../../../opt/conda/lib/python3.8/site-packages/cupy/__init__.py:394 /opt/conda/lib/python3.8/site-packages/cupy/__init__.py:394: DeprecationWarning: `np.MachAr` is deprecated (NumPy 1.22). from numpy import MachAr # NOQA tests/cugraph/test_basics.py::test_to_cugraph_conversion /opt/conda/lib/python3.8/site-packages/numba/np/arraymath.py:3845: DeprecationWarning: `np.MachAr` is deprecated (NumPy 1.22). @overload(np.MachAr) -- Docs: https://docs.pytest.org/en/stable/warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4291/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 3.18s call tests/cugraph/test_basics.py::test_to_cugraph_conversion 0.03s call tests/cugraph/test_basics.py::test_from_cugraph_conversion (7 durations < 0.005s hidden. Use -vv to show these durations.) ======================== 3 passed, 4 warnings in 6.55s ========================= Client [1099] waits on 172.17.0.2:39647 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 [ 16%] 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: 1.541 GB Save partitions: 0.027 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. [04:59:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_get_degrees start graph service on server 0 for part 0 [04:59:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27870]... [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 [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 464744b1b2f84870823a8e3e88d086da052ff9b5090a11c30f0596c8f2508e82 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_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] $ docker rm -f 464744b1b2f84870823a8e3e88d086da052ff9b5090a11c30f0596c8f2508e82 PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } 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] [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags 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 [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce Merge succeeded, producing 48f1e53b9ba96e9069d246b4eadf03ca2fa29c28 Checking out Revision 48f1e53b9ba96e9069d246b4eadf03ca2fa29c28 (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 48f1e53b9ba96e9069d246b4eadf03ca2fa29c28 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 48f1e53b9ba96e9069d246b4eadf03ca2fa29c28 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > 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_v220629 PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] Client [1099] waits on 172.17.0.2:36855 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done get_degree Server (0) shutdown. Server is exiting... check results PASSED [ 18%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [04:59:36] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 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: 1.541 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: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. 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] cu101_v220629: Pulling from dgllib/dgl-ci-gpu Digest: sha256:55b598f5ea8f26ea0286265bc3ce4521d2cc6eaeecaf2b28d16de7807b23dac2 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220629 docker.io/dgllib/dgl-ci-gpu:cu101_v220629 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220629 . [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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220629 cat /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_get_degrees start graph service on server 0 for part 0 [04:59:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12848]... $ docker top c6c73df786cf0086297dbf56a4a7d552a351c4c5b3c49b235af7f68646080e45 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce [Pipeline] sh PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] + nvidia-smi Wed Aug 17 04:59:38 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 41C 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 [04:59:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_get_degrees start graph service on server 1 for part 1 [04:59:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12850]... + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@6a6fb7c9; decorates RemoteLauncher[hudson.remoting.Channel@6ec59fca: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 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] Merge succeeded, producing dbbfa65c100451f20b546dac3e66ede0ead0626d Checking out Revision dbbfa65c100451f20b546dac3e66ede0ead0626d (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f dbbfa65c100451f20b546dac3e66ede0ead0626d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 dbbfa65c100451f20b546dac3e66ede0ead0626d # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace > 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_stack_reduce[idtype1] [Pipeline] sh 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] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins 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] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] Client [1099] waits on 172.17.0.2:32845 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done get_degree Server (1) shutdown. Server is exiting... check results PASSED [ 20%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 21%] 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: 1.541 GB Save partitions: 0.033 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") 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] load test_sampling start graph service on server 0 for part 0 [04:59:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17223]... 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 [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler [04:59:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce Client [1446] waits on 172.17.0.2:41703 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Save partitions: 0.004 seconds, peak memory: 1.541 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. [04:59:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [04:59:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:24719]... PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... Client [1099] waits on 172.17.0.2:38419 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... [04:59:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [04:59:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [04:59:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins Client [1099] waits on 172.17.0.2:57523 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: 1.541 GB Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/xbyak'... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [05:00:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:05] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' 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-4291/third_party/tensorpipe/third_party/googletest'... Client [1099] waits on 172.17.0.2:41557 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: 1.541 GB Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [05:00:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1099] waits on 172.17.0.2:52903 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: 1.541 GB Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 11990 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [05:00:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/third_party/thrust/dependencies/cub'... Client [1099] waits on 172.17.0.2:46177 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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-4291/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [05:00:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/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 Client [1099] waits on 172.17.0.2:44797 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. [05:00:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10819]... [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/python3.6/site-packages (7.0.1) Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) Collecting pyyaml Downloading PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (603 kB) Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) Collecting pandas Using cached pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting ogb Using cached ogb-1.3.3-py3-none-any.whl (78 kB) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.11.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.4.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.2.3) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (21.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (4.8.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pydantic) (4.1.1) Collecting dataclasses>=0.6 Using cached dataclasses-0.8-py3-none-any.whl (19 kB) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.2.1-py2.py3-none-any.whl (500 kB) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from pandas) (1.19.5) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: six in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (1.16.0) Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from rdflib) (3.0.9) 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) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) Client [1099] waits on 172.17.0.2:48637 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19012]... [05:00:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1099] waits on 172.17.0.2:39147 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... [05:00:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: 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...) 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(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 [ 23%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:00:38] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 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: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17314]... Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from ogb) (4.64.0) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from importlib-metadata>=0.12->pytest) (3.6.0) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from outdated>=0.2.0->ogb) (2.27.1) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: 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) /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:00:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17316]... Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") [05:00:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1570] waits on 172.17.0.2:52791 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:00:46] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 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: 1.541 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type r12 and 531 are inside the partition part 0 has 571 edges of type r13 and 535 are inside the partition part 0 has 554 edges of type r23 and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type r12 and 479 are inside the partition part 1 has 530 edges of type r13 and 495 are inside the partition part 1 has 529 edges of type r23 and 493 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.541 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:47] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:47] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14572]... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:00:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14574]... [05:00:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1099] waits on 172.17.0.2:53021 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Done sampling Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:00:51] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6000 edges into 2 parts and get 199 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB part 0 has 555 nodes of type n1 and 493 are inside the partition part 0 has 550 nodes of type n2 and 486 are inside the partition part 0 has 556 nodes of type n3 and 496 are inside the partition part 0 has 508 edges of type r12 and 473 are inside the partition part 0 has 517 edges of type r13 and 486 are inside the partition part 0 has 494 edges of type r23 and 462 are inside the partition part 1 has 577 nodes of type n1 and 517 are inside the partition part 1 has 567 nodes of type n2 and 514 are inside the partition part 1 has 594 nodes of type n3 and 524 are inside the partition part 1 has 541 edges of type r12 and 517 are inside the partition part 1 has 565 edges of type r13 and 524 are inside the partition part 1 has 574 edges of type r23 and 538 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.541 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. 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 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19012]... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:00:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19014]... [05:00:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:53] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite Client [1099] waits on 172.17.0.2:39095 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:00:56] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.541 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: 1.541 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 100 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 2989 edges of type r12 and 2109 are inside the partition part 0 has 3328 edges of type r13 and 2342 are inside the partition part 0 has 3166 edges of type r23 and 2217 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 100 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2942 edges of type r12 and 2091 are inside the partition part 1 has 3191 edges of type r13 and 2278 are inside the partition part 1 has 3082 edges of type r23 and 2183 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.541 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-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 [ 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 [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:00:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:00:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [05:00:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:00:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] Client [1099] waits on 172.17.0.2:44249 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:01] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5478 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.541 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 100 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 2989 edges of type r12 and 2109 are inside the partition part 0 has 3328 edges of type r13 and 2342 are inside the partition part 0 has 3166 edges of type r23 and 2217 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 100 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2942 edges of type r12 and 2091 are inside the partition part 1 has 3191 edges of type r13 and 2278 are inside the partition part 1 has 3082 edges of type r23 and 2183 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.541 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.3 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.9.2 pytz-2022.2.1 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-4291 collecting ... /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:02] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:02] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:03] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:03] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [05:01:03] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:03] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] Client [1099] waits on 172.17.0.2:42297 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-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] Server (1) shutdown. Server (0) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:08] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 630 nodes and 23980 edges into 2 parts and get 4887 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.541 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: 1.541 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 214 nodes of type n3 and 111 are inside the partition part 0 has 2646 edges of type r12 and 1856 are inside the partition part 0 has 2949 edges of type r13 and 2133 are inside the partition part 0 has 2765 edges of type r23 and 2020 are inside the partition part 1 has 200 nodes of type n1 and 102 are inside the partition part 1 has 190 nodes of type n2 and 97 are inside the partition part 1 has 216 nodes of type n3 and 109 are inside the partition part 1 has 2707 edges of type r12 and 1944 are inside the partition part 1 has 2976 edges of type r13 and 2067 are inside the partition part 1 has 2834 edges of type r23 and 1970 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.541 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] [05:01:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] collected 2435 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 [ 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[ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_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[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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] Client [1099] waits on 172.17.0.2:54169 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: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:13] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 28 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB part 0 has 518 nodes of type game and 512 are inside the partition part 0 has 279 nodes of type user and 257 are inside the partition part 0 has 538 edges of type buys and 532 are inside the partition part 1 has 509 nodes of type game and 488 are inside the partition part 1 has 249 nodes of type user and 243 are inside the partition part 1 has 490 edges of type buys and 468 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 7%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 7%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 7%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... 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 [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 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 [ 7%] tests/compute/test_heterograph.py::test_query[int64] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [05:01:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 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 [ 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 [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int64] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[int64] PASSED [ 8%]PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int32] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[int64] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int32] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[int64] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[int32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[int64] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[int64] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int32] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[int64] 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 [ 10%] tests/compute/test_heterograph.py::test_edges_order[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[int64] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int32] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[int64] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-int64] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 11%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 11%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] Client [1099] waits on 172.17.0.2:36993 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: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:18] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 18 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.541 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB part 0 has 524 nodes of type game and 515 are inside the partition part 0 has 255 nodes of type user and 246 are inside the partition part 0 has 516 edges of type buys and 507 are inside the partition part 1 has 494 nodes of type game and 485 are inside the partition part 1 has 263 nodes of type user and 254 are inside the partition part 1 has 502 edges of type buys and 493 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27870]... 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] [05:01:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27872]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] Client [1099] waits on 172.17.0.2:58685 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... Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:27] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 23 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.541 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: 1.541 GB part 0 has 526 nodes of type game and 514 are inside the partition part 0 has 263 nodes of type user and 253 are inside the partition part 0 has 508 edges of type buys and 495 are inside the partition part 1 has 496 nodes of type game and 486 are inside the partition part 1 has 260 nodes of type user and 247 are inside the partition part 1 has 515 edges of type buys and 505 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. 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%]/root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10976]... tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 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 [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10978]... 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[05:01:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int64] PASSED [ 16%] 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tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 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 [ 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%] 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[ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 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 [ 19%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int64] 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 [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 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 [ 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] Client [1099] waits on 172.17.0.2:46331 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: 1.541 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:32] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 25 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.541 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: 1.541 GB part 0 has 494 nodes of type game and 485 are inside the partition part 0 has 258 nodes of type user and 243 are inside the partition part 0 has 491 edges of type buys and 481 are inside the partition part 1 has 530 nodes of type game and 515 are inside the partition part 1 has 267 nodes of type user and 257 are inside the partition part 1 has 534 edges of type buys and 519 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.541 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:26559]... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:26561]... [05:01:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] Client [1099] waits on 172.17.0.2:36153 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] Server (1) shutdown. Server is exiting... Done sampling PASSED [ 25%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling 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] 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: 1.541 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.017 seconds, peak memory: 1.541 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: 1.541 GB Save partitions: 0.031 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 27%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 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] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:39] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 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: 0.016 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] 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] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_in_subgraph start graph service on server 0 for part 0 [05:01:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17223]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_in_subgraph start graph service on server 1 for part 1 [05:01:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17225]... [05:01:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:41] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] Client [1099] waits on 172.17.0.2:35677 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 [ 29%] 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: 1.541 GB Save partitions: 0.001 seconds, peak memory: 1.541 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Save partitions: 0.023 seconds, peak memory: 1.541 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: 1.541 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.026 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 30%] tests/distributed/test_mp_dataloader.py::test_standalone 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] 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: 1.541 GB Save partitions: 0.014 seconds, peak memory: 1.541 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. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] Client[-1] in group[-1] is exiting... PASSED [ 32%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:45] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 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: 1.541 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-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23848]... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:47] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:47] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23851]... 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:01:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23854]... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] [05:01:49] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:49] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] Client [1800] waits on 172.17.0.2:59539 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 34%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:01:53] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 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: 1.541 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.016 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] 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 [ 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:01:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21149]... 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 [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:01:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21152]... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:01:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21155]... PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] SKIPPED (GPU s...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] SKIPPED (GPU s...) 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[05:01:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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[05:01:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:01:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:01:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Client [1842] waits on 172.17.0.2:36801 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] PASSED [ 32%] 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] 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 [ 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] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] 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] 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] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] PASSED [ 37%] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] 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] 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 [ 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] 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] Client[4] in group[0] is exiting... 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 [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g0] 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] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g1] 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] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g0] Client[1] in group[0] is exiting... 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 [ 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 [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 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 [ 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 [ 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 [ 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] Client[0] in group[0] is exiting... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] 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 [ 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 [ 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 [ 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 [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] 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[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[int64-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] 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[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[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 [ 39%] 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 [ 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g1] 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[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 [ 40%] 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 [ 36%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:05] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.015 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:02:06] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:06] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19105]... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:02:07] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:07] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19108]... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:02:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19111]... 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PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] 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PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] 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PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g1] PASSED [ 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] [05:02:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g0] PASSED [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp0-g1] PASSED [ 82%] 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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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 84%]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] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g0] PASSED [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g0] PASSED [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp2-g1] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[int64-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int32-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[int64-shp0-dst-g0] PASSED [ 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 [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-int64] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int32] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-int64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-int32] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-int64] SKIPPED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int32] 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 [ 94%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 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 [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int32-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[int64-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int32] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[int64] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[int32] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... 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[ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_simple[int64] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:13] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 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: 1.541 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: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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 [ 43%] 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 [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] PASSED [ 97%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:02:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:14] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15094]... 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[ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 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 [ 99%] tests/compute/test_traversal.py::test_bfs[int64] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 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:1741 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1741: 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_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-4291/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-4291/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-4291/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291/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-4291/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-4291/python/dgl/heterograph_index.py:777: 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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/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-4291/python/dgl/backend/mxnet/sparse.py:17: DGLWarning: MXNet do not support scatter_add, fallback to numpy. dgl_warning("MXNet do not support scatter_add, fallback to numpy.") tests/compute/test_partition.py::test_get_node_partition_from_book[int32] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291/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-4291/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-4291/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4291/python/dgl/data/graph_serialize.py:179: 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-4291/python/dgl/transforms/functional.py:1193: 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-4291/python/dgl/transforms/functional.py:1196: 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-4291/pytest_compute.xml -- ============================ slowest 100 durations ============================= 20.95s call tests/compute/test_sampler.py::test_negative_sampler 8.71s call tests/compute/test_kernel.py::test_all_binary_builtins 1.24s call tests/compute/test_graph.py::test_query 0.92s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.66s call tests/compute/test_heterograph.py::test_query[int32] 0.65s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.62s call tests/compute/test_heterograph.py::test_query[int64] 0.61s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.46s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.34s call tests/compute/test_basics.py::test_compatible 0.33s call tests/compute/test_basics.py::test_batch_setter_getter[int32] 0.31s call tests/compute/test_heterograph.py::test_view1[int32] 0.30s 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_heterograph.py::test_view1[int64] 0.27s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.25s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.24s call tests/compute/test_kernel.py::test_copy_src_reduce 0.19s call tests/compute/test_heterograph.py::test_updates[int32] 0.18s 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] 0.16s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.13s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.13s call tests/compute/test_transform.py::test_remove_nodes[int32] 0.12s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.12s call tests/compute/test_transform.py::test_remove_nodes[int64] 0.12s call tests/compute/test_heterograph.py::test_level2[int32] 0.11s call tests/compute/test_heterograph.py::test_level2[int64] 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_format[int64] 0.11s call tests/compute/test_heterograph.py::test_format[int32] 0.10s call tests/compute/test_shared_mem.py::test_multi_process[int32] 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_sparse.py::test_spmm[int32-max-sub-shp3-g0] 0.10s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int32] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.09s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.09s call tests/compute/test_shared_mem.py::test_multi_process[int64] 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 0.09s call tests/compute/test_heterograph.py::test_convert[int32] 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int32] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int64] 0.08s 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_heterograph.py::test_flatten[int32] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int32] 0.06s call tests/compute/test_transform.py::test_add_edges[int32] 0.06s call tests/compute/test_transform.py::test_add_edges[int64] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int64] 0.06s call tests/compute/test_sampler.py::test_layer_sampler 0.05s call tests/compute/test_heterograph.py::test_float_cast 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int64] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int32] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int64] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int32] 0.05s call tests/compute/test_transform.py::test_to_block[int32] 0.05s call tests/compute/test_transform.py::test_to_block[int64] 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int32] 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int32] 0.05s call tests/compute/test_removal.py::test_edge_removal[int32] 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int64] 0.05s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_transform.py::test_add_selfloop[int32] 0.05s call tests/compute/test_removal.py::test_edge_removal[int64] 0.04s call tests/compute/test_heterograph.py::test_remove_nodes[int64] 0.04s call tests/compute/test_transform.py::test_add_selfloop[int64] 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.04s call tests/compute/test_transform.py::test_add_reverse_edges 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] 0.04s call tests/compute/test_transform.py::test_no_backtracking 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int32] 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 0.04s call tests/compute/test_heterograph.py::test_create[int32] 0.04s call tests/compute/test_heterograph.py::test_subgraph[int32] 0.04s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 0.04s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] 0.03s call tests/compute/test_heterograph.py::test_create[int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int64] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_batched_graph.py::test_batch_propagate[int64] 0.03s call tests/compute/test_transform.py::test_reorder_graph[int32] 0.03s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int64] 0.03s call tests/compute/test_transform.py::test_reorder_graph[int64] 0.03s call tests/compute/test_sampler.py::test_setseed 0.03s call tests/compute/test_readout.py::test_reduce_readout[mean-g2-int32] 0.03s call tests/compute/test_readout.py::test_reduce_readout[max-g2-int32] ========== 2232 passed, 203 skipped, 492 warnings in 73.99s (0:01:13) ========== server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:02:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:15] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15097]... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 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] 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] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] 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] 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] ============================= 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-4291 collecting ... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:02:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:16] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15100]... 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[05:02:17] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:18] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] Client [1989] waits on 172.17.0.2:51709 Client [1980] waits on 172.17.0.2:57703 Client [1988] waits on 172.17.0.2:48033 Client [1990] waits on 172.17.0.2:36823 Client [1987] waits on 172.17.0.2:39449 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[4] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] Client[2] in group[0] is exiting... PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 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%]Client[3] in group[0] is exiting... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 78%]Client[0] in group[0] is exiting... 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] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 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] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 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 [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 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] Server (2) shutdown. Server is exiting... PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 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 [ 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 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%]PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 40%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:26] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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%]PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] 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 [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 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 [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:02:27] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:27] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17055]... 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 [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 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 [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] PASSED [ 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 [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:02:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17058]... 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-4291/python/dgl/nn/mxnet/conv/chebconv.py:121: 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-4291/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.34s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.31s call tests/mxnet/test_geometry.py::test_fps 0.06s call tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 0.03s call tests/mxnet/test_nn.py::test_set2set 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.03s call tests/mxnet/test_nn.py::test_gg_conv 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_graph_conv[2-int64] 0.02s call tests/mxnet/test_nn.py::test_rgcn[2] 0.02s call tests/mxnet/test_nn.py::test_rgcn[8] 0.02s call tests/mxnet/test_nn.py::test_simple_pool 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.02s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_rgcn[1] 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-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-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[5-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-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-g3-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[1-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-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_sequential 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-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-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[1-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-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-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-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_sage_conv_bi2[1-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-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_sage_conv_bi2[2-pool-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_tagconv[1] 0.01s call tests/mxnet/test_nn.py::test_glob_att_pool 0.01s call tests/mxnet/test_nn.py::test_tagconv[2] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] ======================= 806 passed, 2 warnings in 12.61s ======================= PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... server: #clients=1 load test_sampling PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] start graph service on server 2 for part 2 [05:02:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17061]... PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 c6c73df786cf0086297dbf56a4a7d552a351c4c5b3c49b235af7f68646080e45 PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] [05:02:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] $ docker rm -f c6c73df786cf0086297dbf56a4a7d552a351c4c5b3c49b235af7f68646080e45 PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] Client [2096] waits on 172.17.0.2:33115 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 [ 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 NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 41%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:34] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.541 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.015 seconds, peak memory: 1.541 GB There are 10556 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 [05:02:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21029]... PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int32] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int64] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int32] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int64] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int64] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int32] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) 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PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [05:02:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21032]... PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] 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 [ 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 [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:02:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21035]... PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 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 [ 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:1741 /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291@3/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph_index.py:777: 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: 213 warnings /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/data/citation_graph.py:287: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/pytorch-ci/lib/python3.6/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 /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/data/csv_dataset_base.py:298: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_data.py::test_as_nodepred_ogb /opt/conda/envs/pytorch-ci/lib/python3.6/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] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4291@3/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4291@3/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/backend/pytorch/tensor.py:277: 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-4291@3/python/dgl/backend/pytorch/tensor.py:569: 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-4291@3/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/_deprecate/nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/data/graph_serialize.py:179: 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-4291@3/python/dgl/transforms/functional.py:1193: 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-4291@3/python/dgl/transforms/functional.py:1196: 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-4291@3/python/dgl/transforms/functional.py:1245: 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-4291@3/python/dgl/backend/pytorch/tensor.py:44: 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-4291@3/pytest_compute.xml - ============================ slowest 100 durations ============================= 90.70s call tests/compute/test_data.py::test_reddit 51.45s call tests/compute/test_kernel.py::test_all_binary_builtins 47.76s call tests/compute/test_data.py::test_fakenews 32.14s call tests/compute/test_data.py::test_as_graphpred 26.62s call tests/compute/test_data.py::test_gin 24.68s call tests/compute/test_data.py::test_as_graphpred_ogb 15.36s call tests/compute/test_sampler.py::test_negative_sampler 10.79s call tests/compute/test_data.py::test_as_linkpred_ogb 10.46s call tests/compute/test_data.py::test_gnn_benchmark 10.18s call tests/compute/test_data.py::test_tudataset_regression 8.26s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.15s call tests/compute/test_data.py::test_as_nodepred_ogb 4.50s call tests/compute/test_data.py::test_add_nodepred_split 4.08s call tests/compute/test_data.py::test_citation_graph 3.61s call tests/compute/test_data.py::test_wiki_cs 3.29s call tests/compute/test_data.py::test_fraud 3.18s call tests/compute/test_kernel.py::test_copy_src_reduce 2.64s call tests/compute/test_graph.py::test_query 2.61s call tests/compute/test_kernel.py::test_copy_edge_reduce 2.48s call tests/compute/test_data.py::test_flickr 2.44s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.35s call tests/compute/test_data.py::test_explain_syn 2.06s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.46s call tests/compute/test_heterograph.py::test_forking_pickler 1.41s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.39s call tests/compute/test_sampling.py::test_sample_neighbors_prob 1.15s call tests/compute/test_heterograph.py::test_updates[idtype0] 1.13s call tests/compute/test_heterograph.py::test_query[idtype1] 1.07s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.95s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.89s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.85s call tests/compute/test_heterograph.py::test_query[idtype0] 0.68s call tests/compute/test_data.py::test_csvdataset 0.59s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.55s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.53s call tests/compute/test_transform.py::test_reorder_nodes 0.50s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.49s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] 0.46s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] 0.44s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] 0.42s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] 0.42s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.42s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] 0.37s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 0.36s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] 0.35s call tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] 0.35s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] 0.34s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.34s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 0.34s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] 0.33s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] 0.33s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.33s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.33s call tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 0.32s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] 0.31s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] 0.31s call tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] 0.31s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.31s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] 0.31s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] 0.30s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] 0.30s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] 0.30s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.29s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.29s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] 0.28s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] ========== 2382 passed, 53 skipped, 438 warnings in 500.18s (0:08:20) ========== PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int32] [05:02:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 18%] tests/compute/test_readout.py::test_topk[False-g3-int32] ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291@3 collecting ... PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] collected 3675 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all Client [2138] waits on 172.17.0.2:50855 Client [2137] waits on 172.17.0.2:52627 Client [2135] waits on 172.17.0.2:52719 Client [2136] waits on 172.17.0.2:50105 Client [2128] waits on 172.17.0.2:41569 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) 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 [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all Client[3] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler Client[2] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampler.py::test_layer_sampler PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] 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 Server (0) shutdown. Server is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 43%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:47] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.541 GB Calculate edge assignment: 0.000 seconds part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:02:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13349]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:02:49] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:49] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13352]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:02:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13355]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] [05:02:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] Client [2244] waits on 172.17.0.2:35771 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... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 45%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:02:56] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.541 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: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 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] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [05:02:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13039]... server: #clients=5 load test_sampling start graph service on server 1 for part 1 [05:02:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13042]... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:02:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:02:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13045]... [05:03:00] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:00] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 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] Client [2278] waits on 172.17.0.2:55853 Client [2286] waits on 172.17.0.2:53259 Client [2284] waits on 172.17.0.2:60843 Client [2283] waits on 172.17.0.2:49651 Client [2285] waits on 172.17.0.2:55517 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! 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. Client[3] in group[0] is exiting... Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 47%] 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: 1.541 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.541 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.541 GB [05:03:08] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.541 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.541 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: 1.541 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: 1.541 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:03:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22449]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:03:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22452]... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:03:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22455]... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] [05:03:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] Client [2392] waits on 172.17.0.2:49987 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] 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tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] Converting to homogeneous graph takes 0.011s, peak mem: 1.865 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.865 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.865 GB [05:03:31] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152030 edge cuts Metis partitioning: 0.186 seconds, peak memory: 1.865 GB Assigning nodes to METIS partitions takes 0.205s, peak mem: 1.865 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.053 seconds Construct subgraphs: 0.051 seconds Splitting the graph into partitions takes 0.125s, peak mem: 1.865 GB part 0 has 9939 nodes of type n1 and 3135 are inside the partition part 0 has 9962 nodes of type n2 and 3138 are inside the partition part 0 has 9969 nodes of type n3 and 3141 are inside the partition part 0 has 47447 edges of type r1 and 31342 are inside the partition part 0 has 47560 edges of type r2 and 31338 are inside the partition part 0 has 47753 edges of type r3 and 31515 are inside the partition part 1 has 9967 nodes of type n1 and 3433 are inside the partition part 1 has 9972 nodes of type n2 and 3436 are inside the partition part 1 has 9990 nodes of type n3 and 3439 are inside the partition part 1 has 51424 edges of type r1 and 34270 are inside the partition part 1 has 51834 edges of type r2 and 34471 are inside the partition part 1 has 51593 edges of type r3 and 34372 are inside the partition part 2 has 9972 nodes of type n1 and 3432 are inside the partition part 2 has 9987 nodes of type n2 and 3436 are inside the partition part 2 has 9988 nodes of type n3 and 3440 are inside the partition part 2 has 51581 edges of type r1 and 34488 are inside the partition part 2 has 51588 edges of type r2 and 34391 are inside the partition part 2 has 51850 edges of type r3 and 34413 are inside the partition Save partitions: 0.041 seconds, peak memory: 1.865 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:03:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13169]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:03:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13172]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:03:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13175]... [05:03:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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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%] 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tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 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 [ 49%] 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: 1.865 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.865 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.865 GB [05:03:41] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.865 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.865 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: 1.865 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: 1.865 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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 [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 20%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:03:42] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:42] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21763]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:03:43] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:43] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21766]... 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] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:03:44] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:44] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21769]... PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec [05:03:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:03:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [2476] waits on 172.17.0.2:60695 Client [2475] waits on 172.17.0.2:58911 Client [2470] waits on 172.17.0.2:56485 Client [2477] waits on 172.17.0.2:56439 Client [2478] waits on 172.17.0.2:40357 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob Client[1] in group[0] is exiting... 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 [ 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] Converting to homogeneous graph takes 0.007s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.014 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.874 GB [05:04:07] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152645 edge cuts Metis partitioning: 0.172 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.188s, peak mem: 1.874 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.044 seconds Construct subgraphs: 0.045 seconds Splitting the graph into partitions takes 0.104s, peak mem: 1.874 GB part 0 has 9962 nodes of type n1 and 3134 are inside the partition part 0 has 9970 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47325 edges of type r1 and 30977 are inside the partition part 0 has 47473 edges of type r2 and 31295 are inside the partition part 0 has 47661 edges of type r3 and 31164 are inside the partition part 1 has 9974 nodes of type n1 and 3433 are inside the partition part 1 has 9980 nodes of type n2 and 3435 are inside the partition part 1 has 9988 nodes of type n3 and 3440 are inside the partition part 1 has 51734 edges of type r1 and 34594 are inside the partition part 1 has 52042 edges of type r2 and 34468 are inside the partition part 1 has 51893 edges of type r3 and 34555 are inside the partition part 2 has 9978 nodes of type n1 and 3433 are inside the partition part 2 has 9972 nodes of type n2 and 3436 are inside the partition part 2 has 9983 nodes of type n3 and 3440 are inside the partition part 2 has 51625 edges of type r1 and 34529 are inside the partition part 2 has 51899 edges of type r2 and 34437 are inside the partition part 2 has 51593 edges of type r3 and 34581 are inside the partition Save partitions: 0.040 seconds, peak memory: 1.874 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:04:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21270]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:04:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21273]... server: #clients=5 PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:04:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21276]... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 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 [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] [05:04:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 22%] 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] Client [2600] waits on 172.17.0.2:49121 Client [2599] waits on 172.17.0.2:45371 Client [2601] waits on 172.17.0.2:35731 Client [2592] waits on 172.17.0.2:37527 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Client [2602] waits on 172.17.0.2:47149 Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge Client[4] in group[0] is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite Client[0] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] Client[3] in group[0] is exiting... PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] PASSED [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 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] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-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 [ 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 [ 22%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 50%] 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 0.002s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:04:21] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.874 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: 1.874 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: 0.026 seconds, peak memory: 1.874 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:04:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29782]... PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] load test_sampling start graph service on server 1 for part 1 [05:04:23] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:23] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29785]... PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:04:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29788]... PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] [05:04:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 19%] 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tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 20%] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") 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PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 26%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 26%] tests/pytorch/test_nn.py::test_set2set PASSED [ 26%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 26%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 26%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 30%]PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] Converting to homogeneous graph takes 0.011s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.874 GB [05:04:45] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152645 edge cuts Metis partitioning: 0.193 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.212s, peak mem: 1.874 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.057 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.128s, peak mem: 1.874 GB part 0 has 9962 nodes of type n1 and 3134 are inside the partition part 0 has 9970 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47325 edges of type r1 and 30977 are inside the partition part 0 has 47473 edges of type r2 and 31295 are inside the partition part 0 has 47661 edges of type r3 and 31164 are inside the partition part 1 has 9974 nodes of type n1 and 3433 are inside the partition part 1 has 9980 nodes of type n2 and 3435 are inside the partition part 1 has 9988 nodes of type n3 and 3440 are inside the partition part 1 has 51734 edges of type r1 and 34594 are inside the partition part 1 has 52042 edges of type r2 and 34468 are inside the partition part 1 has 51893 edges of type r3 and 34555 are inside the partition part 2 has 9978 nodes of type n1 and 3433 are inside the partition part 2 has 9972 nodes of type n2 and 3436 are inside the partition part 2 has 9983 nodes of type n3 and 3440 are inside the partition part 2 has 51625 edges of type r1 and 34529 are inside the partition part 2 has 51899 edges of type r2 and 34437 are inside the partition part 2 has 51593 edges of type r3 and 34581 are inside the partition Save partitions: 0.037 seconds, peak memory: 1.874 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:04:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18667]... 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:04:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:48] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18673]... 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PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 51%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 52%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] Client [2752] waits on 172.17.0.2:52511 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 52%] 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: 1.874 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:04:53] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.874 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: 1.874 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: 1.874 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:04:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:54] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11423]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:04:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:55] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11426]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:04:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:56] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11429]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] [05:04:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] [05:04:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:04:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] Client [2791] waits on 172.17.0.2:55035 Client [2792] waits on 172.17.0.2:57633 Client [2793] waits on 172.17.0.2:47759 Client [2786] waits on 172.17.0.2:37693 Client [2794] waits on 172.17.0.2:35249 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") Client[1] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] Client[4] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] Client[0] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-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[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] 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[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] Converting to homogeneous graph takes 0.007s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.014 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.874 GB [05:05:19] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151874 edge cuts Metis partitioning: 0.186 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.202s, peak mem: 1.874 GB Reshuffle nodes and edges: 0.020 seconds Split the graph: 0.049 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.117s, peak mem: 1.874 GB part 0 has 9948 nodes of type n1 and 3134 are inside the partition part 0 has 9958 nodes of type n2 and 3138 are inside the partition part 0 has 9975 nodes of type n3 and 3140 are inside the partition part 0 has 47501 edges of type r1 and 31411 are inside the partition part 0 has 47857 edges of type r2 and 31486 are inside the partition part 0 has 47664 edges of type r3 and 31503 are inside the partition part 1 has 9976 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3436 are inside the partition part 1 has 9987 nodes of type n3 and 3440 are inside the partition part 1 has 51368 edges of type r1 and 34274 are inside the partition part 1 has 51608 edges of type r2 and 34382 are inside the partition part 1 has 51568 edges of type r3 and 34496 are inside the partition part 2 has 9973 nodes of type n1 and 3433 are inside the partition part 2 has 9986 nodes of type n2 and 3436 are inside the partition part 2 has 9999 nodes of type n3 and 3440 are inside the partition part 2 has 51418 edges of type r1 and 34415 are inside the partition part 2 has 51880 edges of type r2 and 34332 are inside the partition part 2 has 51610 edges of type r3 and 34301 are inside the partition Save partitions: 0.045 seconds, peak memory: 1.874 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:05:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25054]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:05:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25057]... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:05:23] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:23] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25060]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] [05:05:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] Client [2917] waits on 172.17.0.2:52287 Client [2918] waits on 172.17.0.2:50385 Client [2915] waits on 172.17.0.2:34281 Client [2908] waits on 172.17.0.2:46283 Client [2916] waits on 172.17.0.2:56033 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] Client[2] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] Server (0) shutdown. Server (1) shutdown. Server is exiting... Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 52%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 52%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 52%] tests/pytorch/test_nn.py::test_twirls PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 53%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 53%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:05:32] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.874 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: 1.874 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: 1.874 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:05:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27571]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:05:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27574]... PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:05:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27577]... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] [05:05:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] Client [3024] waits on 172.17.0.2:35391 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] Converting to homogeneous graph takes 0.010s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.874 GB [05:05:56] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152092 edge cuts Metis partitioning: 0.194 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.212s, peak mem: 1.874 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.053 seconds Construct subgraphs: 0.045 seconds Splitting the graph into partitions takes 0.114s, peak mem: 1.874 GB part 0 has 9941 nodes of type n1 and 3135 are inside the partition part 0 has 9955 nodes of type n2 and 3141 are inside the partition part 0 has 9968 nodes of type n3 and 3145 are inside the partition part 0 has 47562 edges of type r1 and 31373 are inside the partition part 0 has 47592 edges of type r2 and 31361 are inside the partition part 0 has 47739 edges of type r3 and 31475 are inside the partition part 1 has 9973 nodes of type n1 and 3432 are inside the partition part 1 has 9985 nodes of type n2 and 3435 are inside the partition part 1 has 9995 nodes of type n3 and 3435 are inside the partition part 1 has 51405 edges of type r1 and 34235 are inside the partition part 1 has 51915 edges of type r2 and 34532 are inside the partition part 1 has 51689 edges of type r3 and 34374 are inside the partition part 2 has 9969 nodes of type n1 and 3433 are inside the partition part 2 has 9973 nodes of type n2 and 3434 are inside the partition part 2 has 9986 nodes of type n3 and 3440 are inside the partition part 2 has 51718 edges of type r1 and 34492 are inside the partition part 2 has 51621 edges of type r2 and 34307 are inside the partition part 2 has 51451 edges of type r3 and 34451 are inside the partition Save partitions: 0.036 seconds, peak memory: 1.874 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:05:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14090]... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:05:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14093]... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:05:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:05:59] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14096]... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] [05:06:00] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:00] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] Client [3068] waits on 172.17.0.2:42707 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] Client[0] in group[0] is exiting... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%]PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] Server (0) shutdown. Server (1) shutdown. Server (2) shutdown. Server is exiting... Server is exiting... Server is exiting... PASSED [ 56%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:06:05] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.874 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: 1.874 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: 1.874 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:06:06] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:06] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22403]... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:06:07] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:07] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22406]... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:06:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22409]... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] [05:06:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:09] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:10] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] Client [3102] waits on 172.17.0.2:54603 Client [3107] waits on 172.17.0.2:51757 Client [3110] waits on 172.17.0.2:37003 Client [3108] waits on 172.17.0.2:44281 Client [3109] waits on 172.17.0.2:52287 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! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] Client[4] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] Client[1] in group[0] is exiting... PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] Client[3] in group[0] is exiting... PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] Client[0] in group[0] is exiting... PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp5-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp0-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g0] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp1-g1] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g0] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp2-g1] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] Converting to homogeneous graph takes 0.008s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.014 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.874 GB [05:06:31] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152645 edge cuts Metis partitioning: 0.179 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.194s, peak mem: 1.874 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 0.123s, peak mem: 1.874 GB part 0 has 9962 nodes of type n1 and 3134 are inside the partition part 0 has 9970 nodes of type n2 and 3139 are inside the partition part 0 has 9973 nodes of type n3 and 3140 are inside the partition part 0 has 47325 edges of type r1 and 30977 are inside the partition part 0 has 47473 edges of type r2 and 31295 are inside the partition part 0 has 47661 edges of type r3 and 31164 are inside the partition part 1 has 9974 nodes of type n1 and 3433 are inside the partition part 1 has 9980 nodes of type n2 and 3435 are inside the partition part 1 has 9988 nodes of type n3 and 3440 are inside the partition part 1 has 51734 edges of type r1 and 34594 are inside the partition part 1 has 52042 edges of type r2 and 34468 are inside the partition part 1 has 51893 edges of type r3 and 34555 are inside the partition part 2 has 9978 nodes of type n1 and 3433 are inside the partition part 2 has 9972 nodes of type n2 and 3436 are inside the partition part 2 has 9983 nodes of type n3 and 3440 are inside the partition part 2 has 51625 edges of type r1 and 34529 are inside the partition part 2 has 51899 edges of type r2 and 34437 are inside the partition part 2 has 51593 edges of type r3 and 34581 are inside the partition Save partitions: 0.037 seconds, peak memory: 1.874 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 0 for part 0 [05:06:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:33] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12582]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 1 for part 1 [05:06:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12585]... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] server: #clients=5 /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") load test_sampling start graph service on server 2 for part 2 [05:06:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12588]... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] [05:06:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] [[05:06:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:05:06:37] 140/root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: :Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [05:06:37[] 05:06:37/root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [05:06:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] Client [3233] waits on 172.17.0.2:60863 Client [3224] waits on 172.17.0.2:59059 Client [3232] waits on 172.17.0.2:39365 Client [3231] waits on 172.17.0.2:56295 Client [3234] waits on 172.17.0.2:53781 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] Client[0] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%]PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] Client[4] in group[0] is exiting... tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] Client[1] in group[0] is exiting... PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 74%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 75%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 76%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 77%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 60%] tests/distributed/test_new_kvstore.py::test_kv_store PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] /root/jenkins/workspace/dgl_PR-4291/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)`' [05:06:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4291/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4291/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Sleep 5 seconds to test client re-connect. Sleep 5 seconds to test client re-connect. /root/jenkins/workspace/dgl_PR-4291/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)`' [05:06:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:45] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] [05:06:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:28090]... [05:06:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:50] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:28089]... PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] Client [3327] waits on 172.17.0.2:53285 Client [3326] waits on 172.17.0.2:43759 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! ['data_0_3', 'data_0', 'data_0_2', 'data_2', 'data_1', 'data_0_1'] ['data_1', 'data_0_2', 'data_0_1', 'data_0_3', 'data_0', 'data_2'] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] add... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] add... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/distributed/test_new_kvstore.py::test_kv_multi_role PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] /root/jenkins/workspace/dgl_PR-4291/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)`' [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19607]... /root/jenkins/workspace/dgl_PR-4291/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4291/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)`' [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19606]... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] /root/jenkins/workspace/dgl_PR-4291/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)`' [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:57] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:06:58] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] Client [3391] waits on 172.17.0.2:41215 Client [3384] waits on 172.17.0.2:38191 Client [3368] waits on 172.17.0.2:32963 Client [3390] waits on 172.17.0.2:53311 Client [3369] waits on 172.17.0.2:37959 Client [3383] waits on 172.17.0.2:54427 Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (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! PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] [05:07:08] /root/jenkins/workspace/dgl_PR-4291/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 5000 milliseconds. [05:07:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 5000 milliseconds. [05:07:08] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 1 role: default i: 0 role: default trainer rank: 1, global rank: 1 Client[1] in group[0] is exiting... trainer rank: 0, global rank: 0 Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... Client[5] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] Server (0) shutdown. Server (1) shutdown. Server is exiting... Server is exiting... PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.874 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.874 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: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.874 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: 1.874 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: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.874 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: 1.874 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 8 parts and get 142 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.874 GB Save partitions: 0.001 seconds, peak memory: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.874 GB Calculate edge assignment: 0.000 seconds part 0 has 583 nodes and 217 are inside the partition part 0 has 524 edges and 212 are inside the partition part 1 has 622 nodes and 259 are inside the partition part 1 has 560 edges and 254 are inside the partition part 2 has 657 nodes and 274 are inside the partition part 2 has 607 edges and 282 are inside the partition part 3 has 607 nodes and 250 are inside the partition part 3 has 565 edges and 252 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 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: 1.874 GB part 0 has 611 nodes and 252 are inside the partition part 0 has 573 edges and 263 are inside the partition part 1 has 594 nodes and 251 are inside the partition part 1 has 531 edges and 233 are inside the partition part 2 has 594 nodes and 236 are inside the partition part 2 has 542 edges and 237 are inside the partition part 3 has 624 nodes and 261 are inside the partition part 3 has 567 edges and 267 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 264 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.874 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: 1.874 GB part 0 has 367 nodes and 251 are inside the partition part 0 has 358 edges and 267 are inside the partition part 1 has 363 nodes and 250 are inside the partition part 1 has 341 edges and 264 are inside the partition part 2 has 360 nodes and 249 are inside the partition part 2 has 320 edges and 237 are inside the partition part 3 has 377 nodes and 250 are inside the partition part 3 has 322 edges and 232 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.874 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 65%] tests/distributed/test_partition.py::test_hetero_partition PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 2 parts and get 197 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.874 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: 1.874 GB part 0 has 1101 nodes of type item and 1027 are inside the partition part 0 has 620 nodes of type user and 515 are inside the partition part 0 has 1702 edges of type like and 1623 are inside the partition part 1 has 1082 nodes of type item and 972 are inside the partition part 1 has 558 nodes of type user and 485 are inside the partition part 1 has 1495 edges of type like and 1377 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.874 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 8 parts and get 478 edge cuts Metis partitioning: 0.007 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.874 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: 1.874 GB part 0 has 1124 nodes of type item and 1003 are inside the partition part 0 has 616 nodes of type user and 507 are inside the partition part 0 has 1620 edges of type like and 1484 are inside the partition part 1 has 1108 nodes of type item and 997 are inside the partition part 1 has 605 nodes of type user and 492 are inside the partition part 1 has 1641 edges of type like and 1516 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.874 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 4 parts and get 336 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.874 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: 1.874 GB part 0 has 295 nodes of type n1 and 248 are inside the partition part 0 has 306 nodes of type n2 and 252 are inside the partition part 0 has 312 nodes of type n3 and 258 are inside the partition part 0 has 284 edges of type r1 and 255 are inside the partition part 0 has 265 edges of type r2 and 240 are inside the partition part 0 has 275 edges of type r3 and 244 are inside the partition part 1 has 316 nodes of type n1 and 257 are inside the partition part 1 has 317 nodes of type n2 and 257 are inside the partition part 1 has 321 nodes of type n3 and 262 are inside the partition part 1 has 274 edges of type r1 and 247 are inside the partition part 1 has 305 edges of type r2 and 277 are inside the partition part 1 has 320 edges of type r3 and 287 are inside the partition part 2 has 307 nodes of type n1 and 257 are inside the partition part 2 has 315 nodes of type n2 and 259 are inside the partition part 2 has 323 nodes of type n3 and 261 are inside the partition part 2 has 272 edges of type r1 and 250 are inside the partition part 2 has 325 edges of type r2 and 291 are inside the partition part 2 has 289 edges of type r3 and 259 are inside the partition part 3 has 288 nodes of type n1 and 238 are inside the partition part 3 has 293 nodes of type n2 and 242 are inside the partition part 3 has 288 nodes of type n3 and 239 are inside the partition part 3 has 286 edges of type r1 and 258 are inside the partition part 3 has 234 edges of type r2 and 212 are inside the partition part 3 has 267 edges of type r3 and 240 are inside the partition Save partitions: 0.006 seconds, peak memory: 1.874 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 8 parts and get 443 edge cuts Metis partitioning: 0.008 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.010s, peak mem: 1.874 GB Save partitions: 0.002 seconds, peak memory: 1.874 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 32 parts and get 794 edge cuts Metis partitioning: 0.029 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.031s, peak mem: 1.874 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: 1.874 GB part 0 has 329 nodes of type n1 and 248 are inside the partition part 0 has 317 nodes of type n2 and 249 are inside the partition part 0 has 334 nodes of type n3 and 255 are inside the partition part 0 has 262 edges of type r1 and 227 are inside the partition part 0 has 302 edges of type r2 and 264 are inside the partition part 0 has 303 edges of type r3 and 257 are inside the partition part 1 has 324 nodes of type n1 and 248 are inside the partition part 1 has 343 nodes of type n2 and 252 are inside the partition part 1 has 347 nodes of type n3 and 255 are inside the partition part 1 has 310 edges of type r1 and 262 are inside the partition part 1 has 321 edges of type r2 and 270 are inside the partition part 1 has 316 edges of type r3 and 267 are inside the partition part 2 has 335 nodes of type n1 and 256 are inside the partition part 2 has 328 nodes of type n2 and 254 are inside the partition part 2 has 352 nodes of type n3 and 255 are inside the partition part 2 has 310 edges of type r1 and 277 are inside the partition part 2 has 274 edges of type r2 and 227 are inside the partition part 2 has 291 edges of type r3 and 238 are inside the partition part 3 has 328 nodes of type n1 and 248 are inside the partition part 3 has 339 nodes of type n2 and 255 are inside the partition part 3 has 351 nodes of type n3 and 255 are inside the partition part 3 has 283 edges of type r1 and 244 are inside the partition part 3 has 314 edges of type r2 and 259 are inside the partition part 3 has 320 edges of type r3 and 268 are inside the partition Save partitions: 0.006 seconds, peak memory: 1.874 GB PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.874 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 0.008s, peak mem: 1.874 GB part 0 has 533 nodes of type n1 and 240 are inside the partition part 0 has 532 nodes of type n2 and 263 are inside the partition part 0 has 540 nodes of type n3 and 235 are inside the partition part 0 has 420 edges of type r1 and 264 are inside the partition part 0 has 427 edges of type r2 and 224 are inside the partition part 0 has 423 edges of type r3 and 234 are inside the partition part 1 has 561 nodes of type n1 and 262 are inside the partition part 1 has 564 nodes of type n2 and 246 are inside the partition part 1 has 586 nodes of type n3 and 271 are inside the partition part 1 has 465 edges of type r1 and 249 are inside the partition part 1 has 481 edges of type r2 and 281 are inside the partition part 1 has 462 edges of type r3 and 282 are inside the partition part 2 has 534 nodes of type n1 and 234 are inside the partition part 2 has 521 nodes of type n2 and 253 are inside the partition part 2 has 532 nodes of type n3 and 245 are inside the partition part 2 has 417 edges of type r1 and 254 are inside the partition part 2 has 428 edges of type r2 and 252 are inside the partition part 2 has 431 edges of type r3 and 244 are inside the partition part 3 has 555 nodes of type n1 and 264 are inside the partition part 3 has 543 nodes of type n2 and 248 are inside the partition part 3 has 569 nodes of type n3 and 269 are inside the partition part 3 has 446 edges of type r1 and 243 are inside the partition part 3 has 460 edges of type r2 and 263 are inside the partition part 3 has 454 edges of type r3 and 270 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.874 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 Converting to homogeneous graph takes 0.001s, peak mem: 1.874 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.874 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.874 GB [05:07:11] /root/jenkins/workspace/dgl_PR-4291/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6120 edges into 32 parts and get 794 edge cuts Metis partitioning: 0.028 seconds, peak memory: 1.874 GB Assigning nodes to METIS partitions takes 0.029s, peak mem: 1.874 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: 1.874 GB part 0 has 329 nodes of type n1 and 248 are inside the partition part 0 has 317 nodes of type n2 and 249 are inside the partition part 0 has 334 nodes of type n3 and 255 are inside the partition part 0 has 262 edges of type r1 and 227 are inside the partition part 0 has 302 edges of type r2 and 264 are inside the partition part 0 has 303 edges of type r3 and 257 are inside the partition part 1 has 324 nodes of type n1 and 248 are inside the partition part 1 has 343 nodes of type n2 and 252 are inside the partition part 1 has 347 nodes of type n3 and 255 are inside the partition part 1 has 310 edges of type r1 and 262 are inside the partition part 1 has 321 edges of type r2 and 270 are inside the partition part 1 has 316 edges of type r3 and 267 are inside the partition part 2 has 335 nodes of type n1 and 256 are inside the partition part 2 has 328 nodes of type n2 and 254 are inside the partition part 2 has 352 nodes of type n3 and 255 are inside the partition part 2 has 310 edges of type r1 and 277 are inside the partition part 2 has 274 edges of type r2 and 227 are inside the partition part 2 has 291 edges of type r3 and 238 are inside the partition part 3 has 328 nodes of type n1 and 248 are inside the partition part 3 has 339 nodes of type n2 and 255 are inside the partition part 3 has 351 nodes of type n3 and 255 are inside the partition part 3 has 283 edges of type r1 and 244 are inside the partition part 3 has 314 edges of type r2 and 259 are inside the partition part 3 has 320 edges of type r3 and 268 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.874 GB There are 3060 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge r1: 1010, 1010 edge r2: 1020, 1020 edge r3: 1030, 1030 PASSED [ 67%] tests/distributed/test_partition.py::test_BasicPartitionBook PASSED [ 69%] tests/distributed/test_partition.py::test_RangePartitionBook PASSED [ 70%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] [05:07:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:12] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] Start server 0 [05:07:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21850]... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] Client [3463] waits on 172.17.0.2:35863 Machine (0) group (0) client (0) connect to server successfuly! [05:07:19] /root/jenkins/workspace/dgl_PR-4291/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [05:07:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [05:07:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [05:07:20] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] [05:07:24] /root/jenkins/workspace/dgl_PR-4291/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [05:07:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [05:07:24] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g0] Server (0) shutdown. Server is exiting... PASSED [ 72%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g0] [05:07:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:07:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:07:28] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:28918]. Sleep 1 seconds to test client re-connect. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp3-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g0] Start server 0 [05:07:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:07:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:28918]... [05:07:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:28918]. PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp4-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp5-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] [05:07:31] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:35085]. Client [3485] waits on 172.17.0.2:35085 PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp0-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] [05:07:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [05:07:34] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] [05:07:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [05:07:35] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp2-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] [05:07:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [05:07:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] [05:07:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [05:07:39] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] Server (0) shutdown. Server is exiting... PASSED [ 74%] tests/distributed/test_rpc.py::test_serialize PASSED [ 76%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 78%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g0] Sleep 1 seconds to test client re-connect. [05:07:43] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:07:43] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:07:43] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:16300]. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp1-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] Start server 0 [05:07:44] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:07:44] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:16300]... [05:07:44] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:16300]. PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp2-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] [05:07:46] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:46801]. Client [3509] waits on 172.17.0.2:46801 PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp3-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp4-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 80%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:51] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 88%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g0] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp0-g1] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] Start server 0 [05:07:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:07:52] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12279]... PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 32%]PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g0] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp1-g1] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 89%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp2-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] 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 [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] Client [3532] waits on 172.17.0.2:58973 Client [3539] waits on 172.17.0.2:57787 Client [3538] waits on 172.17.0.2:57007 Client [3536] waits on 172.17.0.2:58269 Client [3541] waits on 172.17.0.2:38435 Client [3528] waits on 172.17.0.2:38229 Client [3533] waits on 172.17.0.2:38779 Client [3542] waits on 172.17.0.2:53771 Client [3549] waits on 172.17.0.2:41151 Client [3530] waits on 172.17.0.2:55547 Client [3534] waits on 172.17.0.2:36847 Client [3543] waits on 172.17.0.2:49427 Client [3535] waits on 172.17.0.2:40661 Client [3529] waits on 172.17.0.2:39801 Client [3556] waits on 172.17.0.2:50525 Client [3552] waits on 172.17.0.2:45089 Client [3537] waits on 172.17.0.2:33621 Client [3527] waits on 172.17.0.2:34115 Client [3540] waits on 172.17.0.2:36197 Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Client [3531] waits on 172.17.0.2:46971 Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g0] Client[6] in group[0] is exiting... Client[18] in group[0] is exiting... Client[5] in group[0] is exiting... Client[13] in group[0] is exiting... Client[15] in group[0] is exiting... Client[9] in group[0] is exiting... Client[1] in group[0] is exiting... Client[8] in group[0] is exiting... Client[16] in group[0] is exiting... Client[14] in group[0] is exiting... Client[19] in group[0] is exiting... Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... Client[10] in group[0] is exiting... Client[17] in group[0] is exiting... Client[7] in group[0] is exiting... Client[11] in group[0] is exiting... Client[12] in group[0] is exiting... Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] Server (0) shutdown. Server is exiting... PASSED [ 81%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 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 [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g0] [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [[05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc05:08:01:] 37/root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc: :Failed to connect to receiver[140tcp://172.17.0.2:11501: ].Sender with NetType~ tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. Sleep 1 seconds to test client re-connect. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [[05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:05:08:01140] : /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.ccSender with NetType~:tensorpipe140 is created.: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc[:05:08:01159] : /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.ccReceiver with NetType~:tensorpipe159 is created.: Receiver with NetType~tensorpipe is created. [[05:08:01] 05:08:01/root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc] :/root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc37:: 37Failed to connect to receiver[: tcp://172.17.0.2:11501Failed to connect to receiver[].tcp://172.17.0.2:11501 ]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [[05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:14005:08:01: ] Sender with NetType~/root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cctensorpipe: is created.140 : Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: [Receiver with NetType~05:08:01tensorpipe] is created./root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc :159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:01] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] Start server 0 [05:08:02] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:02] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:11501]... [05:08:02] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:11501]. PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp0-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g0] [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:38537]. Client [3705] waits on 172.17.0.2:38537 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:55307]. Client [3707] waits on 172.17.0.2:55307 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:43717]. [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:41873]. Client [3703] waits on 172.17.0.2:41873 Client [3715] waits on 172.17.0.2:43717 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:36193]. Client [3704] waits on 172.17.0.2:36193 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:40291]. [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:55231]. Client [3710] waits on 172.17.0.2:40291 Client [3709] waits on 172.17.0.2:55231 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:42519]. Client [3708] waits on 172.17.0.2:42519 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:56401]. Client [3713] waits on 172.17.0.2:56401 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:34519]. Client [3702] waits on 172.17.0.2:34519 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:35273]. Client [3706] waits on 172.17.0.2:35273 PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:57403]. Client [3699] waits on 172.17.0.2:57403 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:58469]. [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:38379]. Client [3700] waits on 172.17.0.2:58469 Client [3714] waits on 172.17.0.2:38379 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:52207]. Client [3701] waits on 172.17.0.2:52207 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:49699]. Client [3717] waits on 172.17.0.2:49699 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:45473]. Client [3716] waits on 172.17.0.2:45473 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:45875]. Client [3711] waits on 172.17.0.2:45875 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:60523]. Client [3712] waits on 172.17.0.2:60523 [05:08:04] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:35299]. Client [3718] waits on 172.17.0.2:35299 PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g0] Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] 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] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] Client[6] in group[0] is exiting... Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] Client[0] in group[0] is exiting... Client[5] in group[0] is exiting... Client[13] in group[0] is exiting... Client[3] in group[0] is exiting... Client[9] in group[0] is exiting... Client[8] in group[0] is exiting... Client[7] in group[0] is exiting... Client[11] in group[0] is exiting... Client[16] in group[0] is exiting... Client[17] in group[0] is exiting... Client[19] in group[0] is exiting... Client[15] in group[0] is exiting... Client[14] in group[0] is exiting... Client[10] in group[0] is exiting... Client[12] in group[0] is exiting... Client[18] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] Server (0) shutdown. Server is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g0] PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [05:08:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:11] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] Start server 1 [05:08:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17469]... Start server 0 [05:08:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:13] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17467]... PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp1-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp2-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] Client [1099] waits on 172.17.0.2:51409 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] Server (1) shutdown. Server (0) shutdown. Server is exiting... Server is exiting... PASSED [ 85%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [05:08:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:19] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:19482]. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g0] Start server 0 [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:19482]... [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:19482]. PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] Start server 1 [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:19484]... [05:08:21] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:19484]. PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] [05:08:22] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:57167]. Client [1099] waits on 172.17.0.2:57167 PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp5-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] 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] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 87%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 89%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [05:08:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:25] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp2-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g0] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g0] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp4-g1] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] 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 [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] [05:08:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:29] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-sum-copy_rhs-shp5-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] Start server 0 [05:08:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [05:08:30] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12614]... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp0-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp2-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] Client [3898] waits on 172.17.0.2:38967 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 90%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [05:08:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:36] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:17628]. Expected error: Failed to build conncetion with peer[172.17.0.2:17628] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp4-g1] Sleep 1 seconds to test client re-connect. [05:08:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [05:08:37] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:17628]. PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] Start server 0 [05:08:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [05:08:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:17628]... [05:08:38] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:17628]. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-add-shp5-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] [05:08:40] /root/jenkins/workspace/dgl_PR-4291/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:51533]. Client [3916] waits on 172.17.0.2:51533 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp0-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp1-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g1] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 92%] tests/distributed/test_shared_mem_store.py::test_init SKIPPED (skip ...) [ 94%] tests/distributed/test_shared_mem_store.py::test_compute SKIPPED (sk...) [ 96%] tests/distributed/test_shared_mem_store.py::test_sync_barrier SKIPPED [ 98%] tests/distributed/test_shared_mem_store.py::test_copy_shared_mem SKIPPED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4291/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/distributed/test_dist_graph_store.py: 5 warnings tests/distributed/test_distributed_sampling.py: 9 warnings tests/distributed/test_mp_dataloader.py: 1 warning tests/distributed/test_partition.py: 3 warnings /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/graph_partition_book.py:733: DGLWarning: Etype with 'str' format is deprecated. Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") tests/distributed/test_dist_graph_store.py::test_split[True] /opt/conda/envs/pytorch-ci/lib/python3.6/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-4291/python/dgl/heterograph.py:6143: DGLWarning: DGLGraph.readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.readonly is deprecated in v0.5.\n' tests/distributed/test_distributed_sampling.py::test_standalone_sampling tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] tests/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4291/python/dgl/distributed/partition.py:578: DGLWarning: The argument reshuffle will be deprecated in the next release. For heterogeneous graphs, reshuffle must be enabled. dgl_warning("The argument reshuffle will be deprecated in the next release. " tests/distributed/test_distributed_sampling.py::test_standalone_sampling tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] tests/distributed/test_partition.py::test_partition /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/pytorch/tensor.py:277: 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-4291/pytest_distributed.xml - ============================ slowest 100 durations ============================= 81.88s call tests/distributed/test_dist_graph_store.py::test_server_client 60.23s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 53.95s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 39.90s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 39.22s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 38.77s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 32.76s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 32.57s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 32.23s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 24.12s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 15.26s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 15.26s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 14.43s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 13.43s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 13.30s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] 12.44s call tests/distributed/test_new_kvstore.py::test_kv_store 12.34s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] 12.31s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 12.18s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] 11.82s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 11.69s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 11.68s call tests/distributed/test_dist_graph_store.py::test_split[True] 10.84s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 9.73s call tests/distributed/test_rpc.py::test_multi_client[socket] 9.40s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] 8.43s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 8.25s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] 8.00s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] 7.95s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] 7.88s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 7.87s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 7.34s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 7.26s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 6.28s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 5.31s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 4.55s call tests/distributed/test_dist_graph_store.py::test_standalone 4.22s call tests/distributed/test_dist_graph_store.py::test_split[False] 4.07s call tests/distributed/test_dist_graph_store.py::test_standalone_node_emb 3.69s call tests/distributed/test_dist_graph_store.py::test_split_even 0.46s call tests/distributed/test_partition.py::test_hetero_partition 0.33s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.30s call tests/distributed/test_mp_dataloader.py::test_standalone 0.24s call tests/distributed/test_distributed_sampling.py::test_standalone_sampling 0.22s call tests/distributed/test_partition.py::test_partition (56 durations < 0.005s hidden. Use -vv to show these durations.) ============ 49 passed, 6 skipped, 42 warnings in 716.08s (0:11:56) ============ PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291 collecting ... collected 7 items tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_chained_udf PASSED [ 14%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_py_versions PASSED [ 28%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_simple PASSED [ 42%] tests/tools/test_launch.py::TestWrapCmdWithLocalEnvvars::test_simple PASSED [ 57%] tests/tools/test_launch.py::TestConstructDglServerEnvVars::test_simple PASSED [ 71%] tests/tools/test_launch.py::TestConstructDglClientEnvVars::test_simple PASSED [ 85%] tests/tools/test_launch.py::test_submit_jobs Currently it's in dry run mode which means no jobs will be launched. PASSED [100%] --- generated xml file: /root/jenkins/workspace/dgl_PR-4291/pytest_tools.xml --- ============================ slowest 100 durations ============================= (21 durations < 0.005s hidden. Use -vv to show these durations.) ============================== 7 passed in 0.06s =============================== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g0] [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp3-g1] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 a1676bd4a6c1cf2178c77024cec1142a3edcf6e27b29b8714171af5ce11a7f22 PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] $ docker rm -f a1676bd4a6c1cf2178c77024cec1142a3edcf6e27b29b8714171af5ce11a7f22 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4291 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential github Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g1] Cleaning workspace Fetching without tags PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4291/head:refs/remotes/origin/PR-4291 # 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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 Merge succeeded, producing cd1fd1a290c95cc91ea27880c5ddd81131478ce5 Checking out Revision cd1fd1a290c95cc91ea27880c5ddd81131478ce5 (PR-4291) PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cd1fd1a290c95cc91ea27880c5ddd81131478ce5 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4291 cd1fd1a290c95cc91ea27880c5ddd81131478ce5 # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp0-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] [Pipeline] withEnv [Pipeline] { > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] + docker pull dgllib/dgl-ci-cpu:cu101_v220629 PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] 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] { [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] + docker inspect -f . dgllib/dgl-ci-cpu:cu101_v220629 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] 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-4291 -v /root/jenkins/workspace/dgl_PR-4291:/root/jenkins/workspace/dgl_PR-4291:rw,z -v /root/jenkins/workspace/dgl_PR-4291@tmp:/root/jenkins/workspace/dgl_PR-4291@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] $ docker top fa593cdffcb2823da6e5b04adc80c66fbbdcd4546c1b7588e788e610717cc1d6 -eo pid,comm PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] [Pipeline] { PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] [Pipeline] stage [Pipeline] { (DGL-Go CPU test) [Pipeline] sh PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@2754eca6; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] Fetching without tags PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g1] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] Merge succeeded, producing af54fbe50b75efeb318d6f843408fcad0ed9ad2c Checking out Revision af54fbe50b75efeb318d6f843408fcad0ed9ad2c (PR-4291) PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291/.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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f af54fbe50b75efeb318d6f843408fcad0ed9ad2c # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 af54fbe50b75efeb318d6f843408fcad0ed9ad2c # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/cub' 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-4291/third_party/METIS'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/cub'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp3-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (U...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (U...) [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 98%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 99%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dlpack'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/dmlc-core'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/googletest'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-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] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/libxsmm'... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] 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[idtype1-min-mul-shp2-g0] 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[idtype1-min-mul-shp2-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[idtype1-min-mul-shp3-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[idtype1-min-mul-shp3-g1] PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_lhs-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/nccl'... 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-min-copy_rhs-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/phmap'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 99%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 99%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 99%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g0] PASSED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-add-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] 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 [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 99%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 99%] tests/pytorch/test_unified_tensor.py::test_unified_tensor SKIPPED (g...) [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] SKIPPED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [100%] =============================== warnings summary =============================== tests/pytorch/test_dataloader.py: 308 warnings /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/pytorch/test_dataloader.py: 48 warnings /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/dataloading/dataloader.py:82: 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-4291@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/nn/pytorch/glob.py:700: 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-4291@3/python/dgl/nn/pytorch/glob.py:701: 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-4291@3/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4291@3/pytest_backend.xml - ============================ slowest 100 durations ============================= 26.00s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 18.86s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.84s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 5.76s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 5.39s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 3.68s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 3.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 3.08s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 2.95s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 2.93s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 2.89s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.85s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 2.72s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 2.71s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 2.67s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 2.66s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 2.63s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 2.63s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 2.60s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 2.03s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 2.01s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.79s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 1.77s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.72s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 1.71s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 1.70s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.68s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 1.67s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 1.65s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 1.64s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.64s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 1.61s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.58s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 1.51s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.49s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 1.48s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.43s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 1.36s call tests/pytorch/test_ipc.py::test_torch_ipc 1.34s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 1.25s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.14s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.10s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.05s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 1.03s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] 1.02s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 0.96s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.95s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 0.95s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.94s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] 0.94s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] 0.93s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] 0.91s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] 0.88s call tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce] 0.87s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 0.87s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 0.86s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 0.85s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] 0.84s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 0.82s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 0.80s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 0.80s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] 0.75s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.75s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 0.73s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.72s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.71s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] 0.69s call tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-kd-tree] 0.69s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] 0.67s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 0.66s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.63s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] 0.61s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] 0.61s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] 0.60s call tests/pytorch/test_geometry.py::test_knn_cpu[euclidean-bruteforce-blas] 0.60s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] 0.59s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] 0.56s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] 0.56s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] 0.56s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.56s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.55s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.53s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 0.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] 0.52s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] 0.52s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] 0.51s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] 0.50s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] 0.49s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] 0.49s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] 0.48s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] 0.48s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.48s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] 0.47s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] 0.46s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.46s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.46s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] ========= 3548 passed, 127 skipped, 372 warnings in 403.35s (0:06:43) ========== 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] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh + rm -rf BA-2motifs BA-2motifs-as-graphpred BA-2motifs.pkl BA-COMMUNITY BA-SHAPES CMakeLists.txt CONTRIBUTORS.md DD DD-as-graphpred DD.zip GINDataset GINDataset.zip IMDBBINARY IMDBMULTI Jenkinsfile LICENSE MUTAG MUTAG-as-graphpred NEWS.md PROTEINS PTC README.md TREE-CYCLES TREE-GRIDS ZINC_test ZINC_test.zip aifb-hetero aifb-hetero-as-nodepred aifb-hetero.zip amazon amazon.zip amazon_co_buy_computer amazon_co_buy_computer-as-nodepred amazon_co_buy_computer.zip amazon_co_buy_photo amazon_co_buy_photo.zip apps benchmarks build citeseer citeseer.zip cluster_gcn.pkl cmake coauthor_cs coauthor_cs.zip coauthor_physics coauthor_physics.zip conda cora_full cora_full.zip cora_v2 cora_v2-as-linkpred cora_v2.zip dataset default_name-as-nodepred dglgo docker docs examples featgraph flickr flickr.zip gossipcop gossipcop.zip include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt politifact politifact-as-graphpred politifact.zip pubmed pubmed.zip 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 Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/xbyak'... 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] 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-4291/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g1] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp3-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@72be3055; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9: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 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-4291/third_party/tensorpipe/third_party/googletest'... 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] Fetching without tags Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] Merge succeeded, producing 6d562594a4e52a39252adf52f63d0b6b08f2d722 Checking out Revision 6d562594a4e52a39252adf52f63d0b6b08f2d722 (PR-4291) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 6d562594a4e52a39252adf52f63d0b6b08f2d722 # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 6d562594a4e52a39252adf52f63d0b6b08f2d722 # timeout=10 Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace 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] [Pipeline] sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libnop'... > 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 path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp0-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp1-g1] 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 path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp2-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g0] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-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 [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g0] + bash tests/scripts/task_example_test.sh cpu PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g0] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/thrust/dependencies/cub'... /root/jenkins/workspace/dgl_PR-4291@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0097, 0.0127, 0.0095, 0.0111, 0.0033, 0.0080, 0.0097, 0.0066, 0.0116, 0.0077, 0.0116, 0.0109, 0.0079, 0.0130, 0.0113, 0.0064, 0.0140, 0.0111, 0.0050, 0.0179, 0.0082, 0.0127, 0.0104, 0.0118, 0.0135, 0.0167, 0.0079, 0.0124, 0.0055, 0.0174, 0.0096, 0.0062, 0.0066, 0.0050, 0.0179, 0.0129, 0.0100, 0.0115, 0.0110, 0.0081, 0.0140, 0.0032, 0.0034, 0.0062, 0.0077, 0.0086, 0.0098, 0.0081, 0.0047, 0.0157, 0.0100, 0.0111, 0.0099, 0.0080, 0.0095, 0.0094, 0.0160, 0.0099, 0.0113, 0.0053, 0.0066, 0.0078, 0.0110, 0.0160, 0.0112, 0.0063, 0.0161, 0.0100, 0.0099, 0.0064, 0.0112, 0.0164, 0.0111, 0.0064, 0.0065, 0.0125, 0.0080, 0.0149, 0.0079, 0.0066, 0.0118, 0.0080, 0.0097, 0.0094, 0.0111, 0.0141, 0.0112, 0.0150, 0.0115, 0.0055, 0.0095, 0.0110, 0.0048, 0.0109, 0.0100, 0.0131, 0.0086, 0.0096, 0.0131, 0.0033]) PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] 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-4291/third_party/tvm/3rdparty/dlpack'... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4291/third_party/tvm/3rdparty/vta-hw'... Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4291@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4291@3/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9461 | Accuracy 0.1440 Epoch 00001 | Loss 1.9432 | Accuracy 0.3800 Epoch 00002 | Loss 1.9378 | Accuracy 0.2860 Epoch 00003 | Loss 1.9308 | Accuracy 0.3040 Epoch 00004 | Loss 1.9245 | Accuracy 0.3420 Epoch 00005 | Loss 1.9157 | Accuracy 0.4220 Epoch 00006 | Loss 1.9052 | Accuracy 0.4840 Epoch 00007 | Loss 1.8955 | Accuracy 0.5380 Epoch 00008 | Loss 1.8891 | Accuracy 0.5920 Epoch 00009 | Loss 1.8798 | Accuracy 0.6340 Epoch 00010 | Loss 1.8613 | Accuracy 0.6500 Epoch 00011 | Loss 1.8526 | Accuracy 0.6580 Epoch 00012 | Loss 1.8377 | Accuracy 0.6620 Epoch 00013 | Loss 1.8342 | Accuracy 0.6640 Epoch 00014 | Loss 1.8091 | Accuracy 0.6860 Epoch 00015 | Loss 1.7959 | Accuracy 0.6880 Epoch 00016 | Loss 1.7888 | Accuracy 0.6900 Epoch 00017 | Loss 1.7734 | Accuracy 0.7020 Epoch 00018 | Loss 1.7560 | Accuracy 0.7160 Epoch 00019 | Loss 1.7337 | Accuracy 0.7240 Epoch 00020 | Loss 1.7195 | Accuracy 0.7300 Epoch 00021 | Loss 1.7038 | Accuracy 0.7320 Epoch 00022 | Loss 1.6962 | Accuracy 0.7280 Epoch 00023 | Loss 1.6675 | Accuracy 0.7340 Epoch 00024 | Loss 1.6659 | Accuracy 0.7400 Epoch 00025 | Loss 1.6286 | Accuracy 0.7380 Epoch 00026 | Loss 1.6031 | Accuracy 0.7380 Epoch 00027 | Loss 1.6008 | Accuracy 0.7340 Epoch 00028 | Loss 1.5869 | Accuracy 0.7360 Epoch 00029 | Loss 1.5438 | Accuracy 0.7340 Epoch 00030 | Loss 1.5256 | Accuracy 0.7480 Epoch 00031 | Loss 1.5150 | Accuracy 0.7500 Epoch 00032 | Loss 1.4761 | Accuracy 0.7560 Epoch 00033 | Loss 1.4702 | Accuracy 0.7560 Epoch 00034 | Loss 1.4333 | Accuracy 0.7540 Epoch 00035 | Loss 1.4521 | Accuracy 0.7540 Epoch 00036 | Loss 1.4210 | Accuracy 0.7540 Epoch 00037 | Loss 1.3968 | Accuracy 0.7480 Epoch 00038 | Loss 1.3600 | Accuracy 0.7540 Epoch 00039 | Loss 1.3574 | Accuracy 0.7620 Epoch 00040 | Loss 1.2970 | Accuracy 0.7680 Epoch 00041 | Loss 1.2982 | Accuracy 0.7720 Epoch 00042 | Loss 1.2790 | Accuracy 0.7720 Epoch 00043 | Loss 1.2440 | Accuracy 0.7660 Epoch 00044 | Loss 1.2124 | Accuracy 0.7660 Epoch 00045 | Loss 1.1860 | Accuracy 0.7660 Epoch 00046 | Loss 1.1777 | Accuracy 0.7680 Epoch 00047 | Loss 1.1460 | Accuracy 0.7660 Epoch 00048 | Loss 1.1584 | Accuracy 0.7700 Epoch 00049 | Loss 1.1077 | Accuracy 0.7700 Epoch 00050 | Loss 1.0831 | Accuracy 0.7680 Epoch 00051 | Loss 1.0823 | Accuracy 0.7720 Epoch 00052 | Loss 1.0530 | Accuracy 0.7720 Epoch 00053 | Loss 1.0220 | Accuracy 0.7760 Epoch 00054 | Loss 1.0412 | Accuracy 0.7760 Epoch 00055 | Loss 0.9728 | Accuracy 0.7780 Epoch 00056 | Loss 0.9603 | Accuracy 0.7720 Epoch 00057 | Loss 0.9583 | Accuracy 0.7720 Epoch 00058 | Loss 0.9501 | Accuracy 0.7720 Epoch 00059 | Loss 0.8922 | Accuracy 0.7720 Epoch 00060 | Loss 0.9277 | Accuracy 0.7720 Epoch 00061 | Loss 0.8931 | Accuracy 0.7760 Epoch 00062 | Loss 0.8657 | Accuracy 0.7820 Epoch 00063 | Loss 0.8498 | Accuracy 0.7860 Epoch 00064 | Loss 0.8534 | Accuracy 0.7860 Epoch 00065 | Loss 0.8177 | Accuracy 0.7860 Epoch 00066 | Loss 0.8299 | Accuracy 0.7880 Epoch 00067 | Loss 0.7880 | Accuracy 0.7880 Epoch 00068 | Loss 0.7985 | Accuracy 0.7860 Epoch 00069 | Loss 0.7416 | Accuracy 0.7860 Epoch 00070 | Loss 0.7909 | Accuracy 0.7860 Epoch 00071 | Loss 0.7656 | Accuracy 0.7880 Epoch 00072 | Loss 0.7463 | Accuracy 0.7860 Epoch 00073 | Loss 0.7417 | Accuracy 0.7840 Epoch 00074 | Loss 0.7001 | Accuracy 0.7860 Epoch 00075 | Loss 0.6476 | Accuracy 0.7880 Epoch 00076 | Loss 0.6859 | Accuracy 0.7900 Epoch 00077 | Loss 0.6939 | Accuracy 0.7900 Epoch 00078 | Loss 0.6669 | Accuracy 0.7920 Epoch 00079 | Loss 0.6424 | Accuracy 0.7940 Epoch 00080 | Loss 0.6555 | Accuracy 0.7940 Epoch 00081 | Loss 0.6434 | Accuracy 0.7920 Epoch 00082 | Loss 0.6607 | Accuracy 0.7940 Epoch 00083 | Loss 0.6405 | Accuracy 0.7940 Epoch 00084 | Loss 0.6124 | Accuracy 0.7900 Epoch 00085 | Loss 0.5988 | Accuracy 0.7920 Epoch 00086 | Loss 0.6118 | Accuracy 0.7920 Epoch 00087 | Loss 0.5688 | Accuracy 0.7940 Epoch 00088 | Loss 0.5952 | Accuracy 0.7960 Epoch 00089 | Loss 0.5966 | Accuracy 0.7940 Epoch 00090 | Loss 0.5796 | Accuracy 0.7940 Epoch 00091 | Loss 0.5672 | Accuracy 0.7940 Epoch 00092 | Loss 0.5840 | Accuracy 0.7940 Epoch 00093 | Loss 0.5569 | Accuracy 0.7920 Epoch 00094 | Loss 0.5533 | Accuracy 0.7960 Epoch 00095 | Loss 0.5579 | Accuracy 0.7960 Epoch 00096 | Loss 0.5262 | Accuracy 0.7940 Epoch 00097 | Loss 0.5547 | Accuracy 0.7980 Epoch 00098 | Loss 0.5460 | Accuracy 0.7980 Epoch 00099 | Loss 0.5253 | Accuracy 0.7980 Epoch 00100 | Loss 0.5054 | Accuracy 0.7960 Epoch 00101 | Loss 0.5242 | Accuracy 0.7920 Epoch 00102 | Loss 0.5522 | Accuracy 0.7900 Epoch 00103 | Loss 0.4984 | Accuracy 0.7900 Epoch 00104 | Loss 0.5059 | Accuracy 0.7880 Epoch 00105 | Loss 0.4994 | Accuracy 0.7880 Epoch 00106 | Loss 0.4679 | Accuracy 0.7920 Epoch 00107 | Loss 0.4758 | Accuracy 0.7940 Epoch 00108 | Loss 0.4619 | Accuracy 0.7940 Epoch 00109 | Loss 0.4823 | Accuracy 0.7920 Epoch 00110 | Loss 0.4634 | Accuracy 0.7920 Epoch 00111 | Loss 0.4997 | Accuracy 0.7920 Epoch 00112 | Loss 0.4478 | Accuracy 0.7940 Epoch 00113 | Loss 0.4459 | Accuracy 0.7900 Epoch 00114 | Loss 0.4492 | Accuracy 0.7900 Epoch 00115 | Loss 0.4767 | Accuracy 0.7900 Epoch 00116 | Loss 0.4756 | Accuracy 0.7880 Epoch 00117 | Loss 0.4056 | Accuracy 0.7900 Epoch 00118 | Loss 0.4372 | Accuracy 0.7920 Epoch 00119 | Loss 0.4579 | Accuracy 0.7920 Epoch 00120 | Loss 0.4188 | Accuracy 0.7940 Epoch 00121 | Loss 0.4096 | Accuracy 0.7960 Epoch 00122 | Loss 0.4300 | Accuracy 0.7960 Epoch 00123 | Loss 0.4002 | Accuracy 0.7980 Epoch 00124 | Loss 0.4344 | Accuracy 0.7960 Epoch 00125 | Loss 0.3660 | Accuracy 0.7920 Epoch 00126 | Loss 0.4329 | Accuracy 0.7960 Epoch 00127 | Loss 0.4377 | Accuracy 0.7960 Epoch 00128 | Loss 0.4223 | Accuracy 0.7900 Epoch 00129 | Loss 0.4059 | Accuracy 0.7880 Epoch 00130 | Loss 0.4432 | Accuracy 0.7880 Epoch 00131 | Loss 0.4105 | Accuracy 0.7840 Epoch 00132 | Loss 0.4048 | Accuracy 0.7860 Epoch 00133 | Loss 0.4205 | Accuracy 0.7900 Epoch 00134 | Loss 0.3921 | Accuracy 0.7940 Epoch 00135 | Loss 0.3959 | Accuracy 0.8000 Epoch 00136 | Loss 0.4300 | Accuracy 0.8000 Epoch 00137 | Loss 0.4059 | Accuracy 0.7980 Epoch 00138 | Loss 0.3883 | Accuracy 0.7980 Epoch 00139 | Loss 0.4232 | Accuracy 0.7960 Epoch 00140 | Loss 0.3547 | Accuracy 0.7960 Epoch 00141 | Loss 0.3974 | Accuracy 0.7920 Epoch 00142 | Loss 0.4149 | Accuracy 0.7920 Epoch 00143 | Loss 0.3906 | Accuracy 0.7920 Epoch 00144 | Loss 0.3953 | Accuracy 0.7940 Epoch 00145 | Loss 0.3803 | Accuracy 0.7940 Epoch 00146 | Loss 0.3964 | Accuracy 0.7920 Epoch 00147 | Loss 0.4023 | Accuracy 0.7960 Epoch 00148 | Loss 0.3854 | Accuracy 0.7940 Epoch 00149 | Loss 0.3763 | Accuracy 0.7940 Epoch 00150 | Loss 0.3660 | Accuracy 0.7900 Epoch 00151 | Loss 0.3733 | Accuracy 0.7940 Epoch 00152 | Loss 0.3545 | Accuracy 0.7960 Epoch 00153 | Loss 0.3490 | Accuracy 0.7920 Epoch 00154 | Loss 0.3278 | Accuracy 0.7900 Epoch 00155 | Loss 0.3441 | Accuracy 0.7920 Epoch 00156 | Loss 0.3290 | Accuracy 0.7940 Epoch 00157 | Loss 0.3517 | Accuracy 0.7940 Epoch 00158 | Loss 0.3253 | Accuracy 0.7920 Epoch 00159 | Loss 0.3345 | Accuracy 0.7960 Epoch 00160 | Loss 0.3764 | Accuracy 0.7940 Epoch 00161 | Loss 0.3617 | Accuracy 0.7920 Epoch 00162 | Loss 0.3223 | Accuracy 0.7900 Epoch 00163 | Loss 0.3425 | Accuracy 0.7900 Epoch 00164 | Loss 0.3077 | Accuracy 0.7900 Epoch 00165 | Loss 0.3281 | Accuracy 0.7860 Epoch 00166 | Loss 0.3670 | Accuracy 0.7900 Epoch 00167 | Loss 0.3168 | Accuracy 0.7920 Epoch 00168 | Loss 0.3485 | Accuracy 0.7920 Epoch 00169 | Loss 0.3610 | Accuracy 0.7920 Epoch 00170 | Loss 0.3489 | Accuracy 0.7900 Epoch 00171 | Loss 0.3624 | Accuracy 0.7900 Epoch 00172 | Loss 0.2988 | Accuracy 0.7880 Epoch 00173 | Loss 0.3439 | Accuracy 0.7880 Epoch 00174 | Loss 0.3278 | Accuracy 0.7880 Epoch 00175 | Loss 0.3252 | Accuracy 0.7880 Epoch 00176 | Loss 0.3290 | Accuracy 0.7880 Epoch 00177 | Loss 0.3092 | Accuracy 0.7860 Epoch 00178 | Loss 0.3358 | Accuracy 0.7900 Epoch 00179 | Loss 0.3297 | Accuracy 0.7940 Epoch 00180 | Loss 0.3278 | Accuracy 0.7920 Epoch 00181 | Loss 0.3246 | Accuracy 0.7900 Epoch 00182 | Loss 0.3300 | Accuracy 0.7900 Epoch 00183 | Loss 0.3291 | Accuracy 0.7900 Epoch 00184 | Loss 0.3291 | Accuracy 0.7880 Epoch 00185 | Loss 0.3152 | Accuracy 0.7880 Epoch 00186 | Loss 0.3206 | Accuracy 0.7880 Epoch 00187 | Loss 0.3073 | Accuracy 0.7860 Epoch 00188 | Loss 0.2944 | Accuracy 0.7880 Epoch 00189 | Loss 0.3252 | Accuracy 0.7880 Epoch 00190 | Loss 0.2863 | Accuracy 0.7900 Epoch 00191 | Loss 0.2858 | Accuracy 0.7920 Epoch 00192 | Loss 0.2887 | Accuracy 0.7920 Epoch 00193 | Loss 0.3231 | Accuracy 0.7920 Epoch 00194 | Loss 0.2926 | Accuracy 0.7860 Epoch 00195 | Loss 0.3066 | Accuracy 0.7900 Epoch 00196 | Loss 0.2864 | Accuracy 0.7900 Epoch 00197 | Loss 0.2911 | Accuracy 0.7900 Epoch 00198 | Loss 0.3258 | Accuracy 0.7920 Epoch 00199 | Loss 0.2898 | Accuracy 0.7940 Testing... Test accuracy 0.8240 Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g0] 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 [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp3-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] + bash tests/scripts/task_go_test.sh PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g0] lda/lda_model.py:29: 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, 4.5625e-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, 4.5620e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5660e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-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, 4.5621e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! ~/jenkins/workspace/dgl_PR-4291/dglgo ~/jenkins/workspace/dgl_PR-4291 [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) [Pipeline] sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp4-g1] 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 + 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 python readthedocs.yml src tensoradapter tests third_party tools tutorials running install 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 writing entry points to dglgo.egg-info/entry_points.txt writing requirements to dglgo.egg-info/requires.txt writing top-level names to dglgo.egg-info/top_level.txt writing manifest file 'dglgo.egg-info/SOURCES.txt' reading manifest file 'dglgo.egg-info/SOURCES.txt' writing manifest file 'dglgo.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib creating build/lib/recipes copying recipes/__init__.py -> build/lib/recipes creating build/lib/dglgo copying dglgo/__init__.py -> build/lib/dglgo creating build/lib/dglgo/pipeline copying dglgo/pipeline/__init__.py -> build/lib/dglgo/pipeline creating build/lib/dglgo/utils copying dglgo/utils/early_stop.py -> build/lib/dglgo/utils copying dglgo/utils/optimizer_config.py -> build/lib/dglgo/utils copying dglgo/utils/enter_config.py -> build/lib/dglgo/utils copying dglgo/utils/yaml_dump.py -> build/lib/dglgo/utils copying dglgo/utils/__init__.py -> build/lib/dglgo/utils copying dglgo/utils/factory.py -> build/lib/dglgo/utils copying dglgo/utils/base_model.py -> build/lib/dglgo/utils creating build/lib/dglgo/apply_pipeline copying dglgo/apply_pipeline/__init__.py -> build/lib/dglgo/apply_pipeline creating build/lib/dglgo/model copying dglgo/model/__init__.py -> build/lib/dglgo/model creating build/lib/dglgo/cli copying dglgo/cli/config_apply_cli.py -> build/lib/dglgo/cli copying dglgo/cli/config_cli.py -> build/lib/dglgo/cli copying dglgo/cli/train_cli.py -> build/lib/dglgo/cli copying dglgo/cli/cli.py -> build/lib/dglgo/cli copying dglgo/cli/export_cli.py -> build/lib/dglgo/cli copying dglgo/cli/recipe_cli.py -> build/lib/dglgo/cli copying dglgo/cli/__init__.py -> build/lib/dglgo/cli copying dglgo/cli/apply_cli.py -> build/lib/dglgo/cli creating build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/gen.py -> build/lib/dglgo/pipeline/nodepred_sample creating build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/__init__.py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/gen.py -> build/lib/dglgo/pipeline/graphpred creating build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/__init__.py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/gen.py -> build/lib/dglgo/pipeline/linkpred creating build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/__init__.py -> build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/gen.py -> build/lib/dglgo/pipeline/nodepred creating build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/gen.py -> build/lib/dglgo/apply_pipeline/nodepred_sample creating build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/__init__.py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/gen.py -> build/lib/dglgo/apply_pipeline/graphpred creating build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/gen.py -> build/lib/dglgo/apply_pipeline/nodepred creating build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sage.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sgc.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gcn.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gin.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/__init__.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gat.py -> build/lib/dglgo/model/node_encoder creating build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/gin_ogbg.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/__init__.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/pna.py -> build/lib/dglgo/model/graph_encoder creating build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/bilinear.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/dot.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/ele.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/__init__.py -> build/lib/dglgo/model/edge_encoder copying recipes/graphpred_hiv_pna.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_citeseer_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gcn.yaml -> build/lib/recipes copying recipes/linkpred_citation2_sage.yaml -> build/lib/recipes copying recipes/linkpred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_product_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gat.yaml -> build/lib/recipes copying recipes/graphpred_pcba_gin.yaml -> build/lib/recipes copying recipes/graphpred_hiv_gin.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gcn.yaml -> build/lib/recipes copying recipes/nodepred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_arxiv_gcn.yaml -> build/lib/recipes copying recipes/linkpred_collab_sage.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gat.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-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/early_stop.py to early_stop.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/optimizer_config.py to optimizer_config.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/enter_config.py to enter_config.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/yaml_dump.py to yaml_dump.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/factory.py to factory.cpython-36.pyc [Pipeline] checkout The recommended git tool is: git using credential github Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@2c9caa85; decorates RemoteLauncher[hudson.remoting.Channel@4993a7c9:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g0] byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/base_model.py to base_model.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/gen.py to gen.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sage.py to sage.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sgc.py to sgc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gcn.py to gcn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gin.py to gin.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gat.py to gat.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/gin_ogbg.py to gin_ogbg.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/pna.py to pna.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/bilinear.py to bilinear.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/dot.py to dot.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/ele.py to ele.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_apply_cli.py to config_apply_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_cli.py to config_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/train_cli.py to train_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/cli.py to cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/export_cli.py to export_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/recipe_cli.py to recipe_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/apply_cli.py to apply_cli.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/__init__.py to __init__.cpython-36.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 zip_safe flag not set; analyzing archive contents... dglgo.apply_pipeline.graphpred.__pycache__.gen.cpython-36: module references __file__ dglgo.apply_pipeline.nodepred.__pycache__.gen.cpython-36: module references __file__ dglgo.apply_pipeline.nodepred_sample.__pycache__.gen.cpython-36: module references __file__ dglgo.cli.__pycache__.recipe_cli.cpython-36: module references __file__ dglgo.pipeline.graphpred.__pycache__.gen.cpython-36: module references __file__ dglgo.pipeline.linkpred.__pycache__.gen.cpython-36: module references __file__ dglgo.pipeline.nodepred.__pycache__.gen.cpython-36: module references __file__ dglgo.pipeline.nodepred_sample.__pycache__.gen.cpython-36: module references __file__ dglgo.utils.__pycache__.factory.cpython-36: module references __file__ creating dist creating 'dist/dglgo-0.0.2-py3.6.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dglgo-0.0.2-py3.6.egg creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dglgo-0.0.2-py3.6.egg Extracting dglgo-0.0.2-py3.6.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages/dglgo-0.0.2-py3.6.egg Processing dependencies for dglgo==0.0.2 Searching for rdkit-pypi Reading https://pypi.org/simple/rdkit-pypi/ Fetching without tags PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-div-shp5-g1] Downloading https://files.pythonhosted.org/packages/9a/c8/39caa949d00ce98f04df1bc90103551037e60546059a7194e0b83e65c16c/rdkit_pypi-2021.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=d05a631bac917e8758e0cc35ab977f6c8446b9f215d90894cb2450cd3fb280e1 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] Merging remotes/origin/master commit 39987bc59970289b774319f9e7ccd1ad57a1cb98 into PR head commit 20d8040afb48a37f612dfe930a5324d233441711 Best match: rdkit-pypi 2021.9.4 Processing rdkit_pypi-2021.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing rdkit_pypi-2021.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Merge succeeded, producing d089e9d753508c62411019ef8c7abe9c2da484cb Checking out Revision d089e9d753508c62411019ef8c7abe9c2da484cb (PR-4291) Commit message: "Merge commit '39987bc59970289b774319f9e7ccd1ad57a1cb98' into HEAD" > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4291@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 GitHub Access Token > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4291/head:refs/remotes/origin/PR-4291 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f 20d8040afb48a37f612dfe930a5324d233441711 # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials GitHub Access Token > git merge 39987bc59970289b774319f9e7ccd1ad57a1cb98 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f d089e9d753508c62411019ef8c7abe9c2da484cb # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4291 # timeout=10 > git checkout -b PR-4291 d089e9d753508c62411019ef8c7abe9c2da484cb # timeout=10 > git rev-list --no-walk 94929052e1ee8fd96dc686cec5a93ed0cef4e095 # timeout=10 Cleaning workspace PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g0] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] sh PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp0-g1] Adding rdkit-pypi 2021.9.4 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/rdkit_pypi-2021.9.4-py3.6-linux-x86_64.egg + git submodule update --recursive --init Searching for PyYAML>=5.1 Reading https://pypi.org/simple/PyYAML/ Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] > git clean -fdx # timeout=10 Downloading https://files.pythonhosted.org/packages/b3/85/79b9e5b4e8d3c0ac657f4e8617713cca8408f6cdc65d2ee6554217cedff1/PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl#sha256=98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4 Best match: PyYAML 6.0 Processing PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl Installing PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding PyYAML 6.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/PyYAML-6.0-py3.6-linux-x86_64.egg Searching for ruamel.yaml>=0.17.20 Reading https://pypi.org/simple/ruamel.yaml/ Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g0] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g1] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-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 path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g0] 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/python3.6/site-packages Adding ruamel.yaml 0.17.21 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ruamel.yaml-0.17.21-py3.6.egg Searching for pydantic>=1.9.0 Reading https://pypi.org/simple/pydantic/ Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Downloading https://files.pythonhosted.org/packages/fe/27/0de772dcd0517770b265dbc3998ed3ee3aa2ba25ba67e3685116cbbbccc6/pydantic-1.9.2-py3-none-any.whl#sha256=78a4d6bdfd116a559aeec9a4cfe77dda62acc6233f8b56a716edad2651023e5e Best match: pydantic 1.9.2 Processing pydantic-1.9.2-py3-none-any.whl Installing pydantic-1.9.2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding pydantic 1.9.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/pydantic-1.9.2-py3.6.egg Searching for numpydoc>=1.1.0 Reading https://pypi.org/simple/numpydoc/ Downloading https://files.pythonhosted.org/packages/e7/1a/9e3c2a34aae5bd1ab8988b238aafeb4c8d3ab312b8aa5a8c37be6c6d869d/numpydoc-1.4.0-py3-none-any.whl#sha256=fd26258868ebcc75c816fe68e1d41e3b55bd410941acfb969dee3eef6e5cf260 Best match: numpydoc 1.4.0 Processing numpydoc-1.4.0-py3-none-any.whl Installing numpydoc-1.4.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] Adding numpydoc 1.4.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/numpydoc-1.4.0-py3.6.egg Searching for autopep8>=1.6.0 Reading https://pypi.org/simple/autopep8/ Downloading https://files.pythonhosted.org/packages/5d/9b/1ed75f8c9086fafe0e9bbb379a70c43b1aa9dff6154ddcfb818f78cb0736/autopep8-1.7.0-py2.py3-none-any.whl#sha256=6f09e90a2be784317e84dc1add17ebfc7abe3924239957a37e5040e27d812087 Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Best match: autopep8 1.7.0 Processing autopep8-1.7.0-py2.py3-none-any.whl Installing autopep8-1.7.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding autopep8 1.7.0 to easy-install.pth file Installing autopep8 script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/autopep8-1.7.0-py3.6.egg Searching for isort>=5.10.1 Reading https://pypi.org/simple/isort/ [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 Downloading https://files.pythonhosted.org/packages/b8/5b/f18e227df38b94b4ee30d2502fd531bebac23946a2497e5595067a561274/isort-5.10.1-py3-none-any.whl#sha256=6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7 PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp4-g1] + bash tests/scripts/task_pytorch_tutorial_test.sh 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/python3.6/site-packages 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/python3.6/site-packages/isort-5.10.1-py3.6.egg Searching for typer>=0.4.0 Reading https://pypi.org/simple/typer/ Downloading https://files.pythonhosted.org/packages/e8/9b/7470461c68588ed09c2e53cbb16b802815232796d95f7b4744cc8842f19d/typer-0.6.1-py3-none-any.whl#sha256=54b19e5df18654070a82f8c2aa1da456a4ac16a2a83e6dcd9f170e291c56338e Best match: typer 0.6.1 Processing typer-0.6.1-py3-none-any.whl Installing typer-0.6.1-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding typer 0.6.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/typer-0.6.1-py3.6.egg Searching for ruamel.yaml.clib>=0.2.6 Reading https://pypi.org/simple/ruamel.yaml.clib/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g0] Requirement already satisfied: networkx>=2.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 1)) (2.5.1) Requirement already satisfied: torch in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 2)) (1.9.0+cpu) Requirement already satisfied: numpy in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 3)) (1.19.5) Downloading https://files.pythonhosted.org/packages/2a/25/5b1dfc832ef3b83576c546d1fb3e27f136022cdd1008aab290a1e28ef220/ruamel.yaml.clib-0.2.6-cp36-cp36m-manylinux1_x86_64.whl#sha256=72a2b8b2ff0a627496aad76f37a652bcef400fd861721744201ef1b45199ab78 Best match: ruamel.yaml.clib 0.2.6 Processing ruamel.yaml.clib-0.2.6-cp36-cp36m-manylinux1_x86_64.whl Installing ruamel.yaml.clib-0.2.6-cp36-cp36m-manylinux1_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding ruamel.yaml.clib 0.2.6 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/ruamel.yaml.clib-0.2.6-py3.6-linux-x86_64.egg Searching for sphinx>=3.0 Reading https://pypi.org/simple/sphinx/ PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] Collecting seaborn Downloading seaborn-0.11.2-py3-none-any.whl (292 kB) Requirement already satisfied: matplotlib in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 5)) (3.3.4) PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp5-g1] Collecting pygraphviz Downloading pygraphviz-1.6.zip (117 kB) Downloading https://files.pythonhosted.org/packages/83/74/318d8cd70cbde2164e3035f9e9ba0807e2de7d384e03784ad0afc98b891b/Sphinx-5.1.1-py3-none-any.whl#sha256=309a8da80cb6da9f4713438e5b55861877d5d7976b69d87e336733637ea12693 PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] Collecting graphviz Downloading graphviz-0.19.1-py3-none-any.whl (46 kB) Best match: Sphinx 5.1.1 Processing Sphinx-5.1.1-py3-none-any.whl Installing Sphinx-5.1.1-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding Sphinx 5.1.1 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/python3.6/site-packages/Sphinx-5.1.1-py3.6.egg Searching for Jinja2>=2.10 Reading https://pypi.org/simple/Jinja2/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g0] Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 8)) (1.1.5) Requirement already satisfied: rdflib in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from -r requirements.txt (line 9)) (5.0.0) Requirement already satisfied: decorator<5,>=4.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from networkx>=2.1->-r requirements.txt (line 1)) (4.4.2) Requirement already satisfied: dataclasses in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from torch->-r requirements.txt (line 2)) (0.8) Requirement already satisfied: typing-extensions in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from torch->-r requirements.txt (line 2)) (4.1.1) Requirement already satisfied: scipy>=1.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from seaborn->-r requirements.txt (line 4)) (1.5.4) Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from matplotlib->-r requirements.txt (line 5)) (3.0.9) Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from matplotlib->-r requirements.txt (line 5)) (1.3.1) Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from matplotlib->-r requirements.txt (line 5)) (8.4.0) Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from matplotlib->-r requirements.txt (line 5)) (2.8.2) Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from matplotlib->-r requirements.txt (line 5)) (0.11.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from pandas->-r requirements.txt (line 8)) (2022.1) Requirement already satisfied: isodate in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib->-r requirements.txt (line 9)) (0.6.1) Requirement already satisfied: six in /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages (from rdflib->-r requirements.txt (line 9)) (1.16.0) Building wheels for collected packages: pygraphviz Building wheel for pygraphviz (setup.py): started 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/python3.6/site-packages Adding Jinja2 3.1.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Jinja2-3.1.2-py3.6.egg Searching for toml Reading https://pypi.org/simple/toml/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp0-g1] Downloading https://files.pythonhosted.org/packages/44/6f/7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e/toml-0.10.2-py2.py3-none-any.whl#sha256=806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b Best match: toml 0.10.2 Processing toml-0.10.2-py2.py3-none-any.whl Installing toml-0.10.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding toml 0.10.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/toml-0.10.2-py3.6.egg Searching for pycodestyle>=2.9.1 Reading https://pypi.org/simple/pycodestyle/ Downloading https://files.pythonhosted.org/packages/67/e4/fc77f1039c34b3612c4867b69cbb2b8a4e569720b1f19b0637002ee03aff/pycodestyle-2.9.1-py2.py3-none-any.whl#sha256=d1735fc58b418fd7c5f658d28d943854f8a849b01a5d0a1e6f3f3fdd0166804b Best match: pycodestyle 2.9.1 Processing pycodestyle-2.9.1-py2.py3-none-any.whl Installing pycodestyle-2.9.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] 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/python3.6/site-packages/pycodestyle-2.9.1-py3.6.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/python3.6/site-packages Adding sphinxcontrib-serializinghtml 1.1.5 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_serializinghtml-1.1.5-py3.6.egg Searching for sphinxcontrib-qthelp Reading https://pypi.org/simple/sphinxcontrib-qthelp/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g0] Downloading https://files.pythonhosted.org/packages/2b/14/05f9206cf4e9cfca1afb5fd224c7cd434dcc3a433d6d9e4e0264d29c6cdb/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl#sha256=bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6 Best match: sphinxcontrib-qthelp 1.0.3 Processing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl Installing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding sphinxcontrib-qthelp 1.0.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_qthelp-1.0.3-py3.6.egg Searching for sphinxcontrib-jsmath Reading https://pypi.org/simple/sphinxcontrib-jsmath/ 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/python3.6/site-packages PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] Adding sphinxcontrib-jsmath 1.0.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_jsmath-1.0.1-py3.6.egg Searching for sphinxcontrib-htmlhelp>=2.0.0 Reading https://pypi.org/simple/sphinxcontrib-htmlhelp/ Downloading https://files.pythonhosted.org/packages/63/40/c854ef09500e25f6432dcbad0f37df87fd7046d376272292d8654cc71c95/sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl#sha256=d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07 Best match: sphinxcontrib-htmlhelp 2.0.0 Processing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl Installing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding sphinxcontrib-htmlhelp 2.0.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_htmlhelp-2.0.0-py3.6.egg Searching for sphinxcontrib-devhelp Reading https://pypi.org/simple/sphinxcontrib-devhelp/ Downloading https://files.pythonhosted.org/packages/c5/09/5de5ed43a521387f18bdf5f5af31d099605c992fd25372b2b9b825ce48ee/sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl#sha256=8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g0] Best match: sphinxcontrib-devhelp 1.0.2 Processing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding sphinxcontrib-devhelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_devhelp-1.0.2-py3.6.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/python3.6/site-packages Adding sphinxcontrib-applehelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/sphinxcontrib_applehelp-1.0.2-py3.6.egg Searching for snowballstemmer>=1.1 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/python3.6/site-packages Adding snowballstemmer 2.2.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/snowballstemmer-2.2.0-py3.6.egg Searching for imagesize Reading https://pypi.org/simple/imagesize/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g1] Building wheel for pygraphviz (setup.py): finished with status 'done' Created wheel for pygraphviz: filename=pygraphviz-1.6-cp36-cp36m-linux_x86_64.whl size=193291 sha256=7813aaf2af19bca06eb846623612ebec38c1e12bc2f304c39bcd8e85b2bf64dd Stored in directory: /root/.cache/pip/wheels/ae/dd/00/72ba3f6cec9d5c207e8dde77052acf6c27a58afefa0775ce04 Successfully built pygraphviz 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/python3.6/site-packages Adding imagesize 1.4.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/imagesize-1.4.1-py3.6.egg Searching for docutils<0.20,>=0.14 Reading https://pypi.org/simple/docutils/ Downloading https://files.pythonhosted.org/packages/93/69/e391bd51bc08ed9141ecd899a0ddb61ab6465309f1eb470905c0c8868081/docutils-0.19-py3-none-any.whl#sha256=5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g0] 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/python3.6/site-packages 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/python3.6/site-packages/docutils-0.19-py3.6.egg Searching for babel>=1.3 Reading https://pypi.org/simple/babel/ Downloading https://files.pythonhosted.org/packages/2e/57/a4177e24f8ed700c037e1eca7620097fdfbb1c9b358601e40169adf6d364/Babel-2.10.3-py3-none-any.whl#sha256=ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp3-g1] Installing collected packages: seaborn, pygraphviz, graphviz Best match: Babel 2.10.3 Processing Babel-2.10.3-py3-none-any.whl Installing Babel-2.10.3-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding Babel 2.10.3 to easy-install.pth file Installing pybabel script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/Babel-2.10.3-py3.6.egg Searching for alabaster<0.8,>=0.7 Reading https://pypi.org/simple/alabaster/ Successfully installed graphviz-0.19.1 pygraphviz-1.6 seaborn-0.11.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g0] Downloading https://files.pythonhosted.org/packages/10/ad/00b090d23a222943eb0eda509720a404f531a439e803f6538f35136cae9e/alabaster-0.7.12-py2.py3-none-any.whl#sha256=446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359 Best match: alabaster 0.7.12 Processing alabaster-0.7.12-py2.py3-none-any.whl Installing alabaster-0.7.12-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding alabaster 0.7.12 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/alabaster-0.7.12-py3.6.egg Searching for Pygments>=2.0 Reading https://pypi.org/simple/Pygments/ Running tutorial ./multi/2_node_classification.py ... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp4-g1] Downloading https://files.pythonhosted.org/packages/4f/82/672cd382e5b39ab1cd422a672382f08a1fb3d08d9e0c0f3707f33a52063b/Pygments-2.13.0-py3-none-any.whl#sha256=f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42 Best match: Pygments 2.13.0 Processing Pygments-2.13.0-py3-none-any.whl Installing Pygments-2.13.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages 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/python3.6/site-packages/Pygments-2.13.0-py3.6.egg Searching for MarkupSafe>=2.0 Reading https://pypi.org/simple/MarkupSafe/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g0] Downloading https://files.pythonhosted.org/packages/1d/97/2288fe498044284f39ab8950703e88abbac2abbdf65524d576157af70556/MarkupSafe-2.1.1.tar.gz#sha256=7f91197cc9e48f989d12e4e6fbc46495c446636dfc81b9ccf50bb0ec74b91d4b Best match: MarkupSafe 2.1.1 Processing MarkupSafe-2.1.1.tar.gz Writing /tmp/easy_install-qtvb18yc/MarkupSafe-2.1.1/setup.cfg Running MarkupSafe-2.1.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-qtvb18yc/MarkupSafe-2.1.1/egg-dist-tmp-a2wuxeca no previously-included directories found matching 'docs/_build' warning: no previously-included files matching '*.pyc' found anywhere in distribution PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp5-g1] /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 zip_safe flag not set; analyzing archive contents... markupsafe.__pycache__._speedups.cpython-36: module references __file__ creating /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/MarkupSafe-2.1.1-py3.6-linux-x86_64.egg Extracting MarkupSafe-2.1.1-py3.6-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Adding MarkupSafe 2.1.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/MarkupSafe-2.1.1-py3.6-linux-x86_64.egg Searching for scikit-learn==0.24.2 Best match: scikit-learn 0.24.2 Adding scikit-learn 0.24.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for numpy==1.19.5 Best match: numpy 1.19.5 Adding numpy 1.19.5 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 f2py3.6 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for scipy==1.5.4 Best match: scipy 1.5.4 Adding scipy 1.5.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/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/python3.6/site-packages Searching for Pillow==8.4.0 Best match: Pillow 8.4.0 Adding Pillow 8.4.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/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/python3.6/site-packages Searching for urllib3==1.26.9 Best match: urllib3 1.26.9 Adding urllib3 1.26.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/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/python3.6/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/python3.6/site-packages Searching for typing-extensions==4.1.1 Best match: typing-extensions 4.1.1 Adding typing-extensions 4.1.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for dataclasses==0.8 Best match: dataclasses 0.8 Adding dataclasses 0.8 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for click==8.0.4 Best match: click 8.0.4 Adding click 8.0.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for pytz==2022.1 Best match: pytz 2022.1 Adding pytz 2022.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for importlib-resources==5.4.0 Best match: importlib-resources 5.4.0 Adding importlib-resources 5.4.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for requests==2.27.1 Best match: requests 2.27.1 Adding requests 2.27.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for importlib-metadata==4.8.3 Best match: importlib-metadata 4.8.3 Adding importlib-metadata 4.8.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for zipp==3.6.0 Best match: zipp 3.6.0 Adding zipp 3.6.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages Searching for certifi==2021.5.30 Best match: certifi 2021.5.30 Adding certifi 2021.5.30 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Searching for charset-normalizer==2.0.12 Best match: charset-normalizer 2.0.12 Adding charset-normalizer 2.0.12 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.6/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/python3.6/site-packages Finished processing dependencies for dglgo==0.0.2 ~/jenkins/workspace/dgl_PR-4291 PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[int32-add-u-v-shp1-g1] Collecting psutil Downloading psutil-5.9.1-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] Downloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip 0%| | 0/81 [00:00 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-4291@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-4291@4/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4291@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-4291@4/python/dgl/data/graph_serialize.py:179: 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-4291@4/python/dgl/transforms/functional.py:1193: 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-4291@4/python/dgl/transforms/functional.py:1196: 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-4291@4/python/dgl/transforms/functional.py:1245: 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-4291@4/pytest_compute.xml - ============================ slowest 100 durations ============================= 206.64s call tests/compute/test_kernel.py::test_all_binary_builtins 79.97s call tests/compute/test_sampler.py::test_negative_sampler 53.80s call tests/compute/test_transform.py::test_metis_partition[int64] 14.28s call tests/compute/test_transform.py::test_reorder_nodes 6.03s call tests/compute/test_kernel.py::test_copy_src_reduce 5.32s call tests/compute/test_kernel.py::test_copy_edge_reduce 3.38s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.89s call tests/compute/test_graph.py::test_query 2.41s call tests/compute/test_heterograph.py::test_query[int64] 2.36s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 2.34s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 2.23s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] 2.21s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] 2.19s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] 2.15s call tests/compute/test_heterograph.py::test_query[int32] 1.92s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] 1.89s call tests/compute/test_traversal.py::test_bfs[int64] 1.87s call tests/compute/test_traversal.py::test_bfs[int32] 1.78s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] 1.77s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] 1.65s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp4-g1] 1.60s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp5-g1] 1.58s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] 1.56s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] 1.54s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp4-g1] 1.54s call tests/compute/test_propagate.py::test_prop_edges_dfs[int64] 1.52s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] 1.52s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp3-g1] 1.50s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] 1.50s call tests/compute/test_sparse.py::test_spmm[int64-sum-mul-shp3-g1] 1.50s call tests/compute/test_sparse.py::test_spmm[int64-sum-sub-shp0-g1] 1.49s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] 1.48s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] 1.47s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] 1.46s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] 1.45s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] 1.44s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp4-g1] 1.43s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] 1.42s call tests/compute/test_specialization.py::test_v2v_pull[int64] 1.41s call tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp2-g1] 1.37s call tests/compute/test_sparse.py::test_spmm[int64-min-sub-shp5-g1] 1.36s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] 1.36s call tests/compute/test_sampling.py::test_sample_neighbors_prob 1.36s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp3-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] 1.34s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] 1.33s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[int64-max-div-shp1-g1] 1.31s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] 1.29s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp1-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp2-g1] 1.27s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] 1.27s call tests/compute/test_sparse.py::test_spmm[int64-min-add-shp3-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp1-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] 1.25s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp0-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g1] 1.24s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g1] 1.23s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] 1.17s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp2-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp2-g1] 1.16s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g0] 1.15s call tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp1-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] 1.14s call tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp4-g1] 1.13s call tests/compute/test_specialization.py::test_v2v_pull[int32] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] 1.12s call tests/compute/test_sparse.py::test_spmm[int64-sum-copy_lhs-shp0-g1] 1.11s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 1.11s call tests/compute/test_sparse.py::test_spmm[int32-min-copy_lhs-shp0-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] 1.11s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] 1.11s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 1.11s call tests/compute/test_sparse.py::test_spmm[int64-min-mul-shp1-g1] 1.10s call tests/compute/test_sparse.py::test_spmm[int64-sum-div-shp5-g1] 1.10s call tests/compute/test_specialization.py::test_v2v_snr[int64] ========= 2287 passed, 148 skipped, 509 warnings in 976.99s (0:16:16) ========== PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] ============================= 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-4291@4 collecting ... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 58%] tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] 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 [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] 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 [ 59%] tests/go/test_pipeline.py::test_linkpred_node_model[gat] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] 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 [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] 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 [ 60%] tests/go/test_pipeline.py::test_linkpred_node_model[sage] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 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 [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 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 [ 61%] tests/go/test_pipeline.py::test_linkpred_node_model[sgc] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] 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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 62%] tests/go/test_pipeline.py::test_linkpred_node_model[gin] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 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 [ 64%] tests/go/test_pipeline.py::test_linkpred_edge_model[ele] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 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 [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 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 [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 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 [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 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 [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 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 [ 65%] tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 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/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 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/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[8] PASSED [ 98%] tests/mxnet/test_nn.py::test_sequential PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] PASSED [ 66%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int32] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[1-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[8-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[16-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[64-idtype1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] SKIPPED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int32] PASSED [ 67%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] PASSED [ 69%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 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 [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] PASSED [ 70%] tests/go/test_pipeline.py::test_graphpred[gin-csv] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 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-4291@4/python/dgl/nn/mxnet/conv/chebconv.py:121: 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-4291@4/pytest_backend.xml - ============================ slowest 100 durations ============================= 2.35s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 2.11s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 2.05s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 1.96s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 1.87s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 1.77s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 1.70s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 1.61s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 1.61s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 1.58s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 1.05s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 0.68s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.39s call tests/mxnet/test_nn.py::test_rgcn[8] 0.27s call tests/mxnet/test_nn.py::test_rgcn[2] 0.26s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] 0.23s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 0.23s call tests/mxnet/test_nn.py::test_sequential 0.22s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] 0.21s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.20s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.20s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] 0.19s call tests/mxnet/test_nn.py::test_rgcn[1] 0.18s call tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] 0.17s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.16s call tests/mxnet/test_nn.py::test_gmm_conv[g1-int32] 0.16s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.16s call tests/mxnet/test_nn.py::test_gmm_conv[g5-int32] 0.16s call tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] 0.15s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] 0.15s call tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int32] 0.15s call tests/mxnet/test_nn.py::test_sg_conv[1] 0.14s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] 0.14s call tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] 0.14s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] 0.14s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] 0.14s call tests/mxnet/test_nn.py::test_sg_conv[2] 0.14s call tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int32] 0.14s call tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] 0.14s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] 0.14s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.13s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.13s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] 0.13s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] 0.13s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.13s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.13s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.12s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] 0.12s call tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] 0.12s call tests/mxnet/test_nn.py::test_agnn_conv[g2-int32] 0.12s call tests/mxnet/test_nn.py::test_gmm_conv[g0-int64] 0.12s call tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int64] 0.12s call tests/mxnet/test_nn.py::test_edge_conv[1-g5-int32] 0.12s call tests/mxnet/test_nn.py::test_gg_conv 0.12s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] 0.11s call tests/mxnet/test_nn.py::test_nn_conv[g2-int64] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] 0.11s call tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int64] 0.11s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int32] 0.11s call tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] 0.11s call tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int64] 0.11s call tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] 0.11s call tests/mxnet/test_nn.py::test_gmm_conv[g2-int64] 0.11s call tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] 0.11s call tests/mxnet/test_nn.py::test_gmm_conv[g2-int32] 0.10s call tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] 0.10s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int64] 0.10s call tests/mxnet/test_nn.py::test_gmm_conv[g4-int32] 0.10s call tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int32] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] 0.10s call tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int32] 0.10s call tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int64] 0.10s call tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int32] 0.10s call tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] 0.10s call tests/mxnet/test_nn.py::test_gmm_conv[g6-int32] 0.10s call tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] 0.10s call tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] 0.10s call tests/mxnet/test_nn.py::test_cheb_conv[1] 0.10s call tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] 0.10s call tests/mxnet/test_nn.py::test_gmm_conv[g3-int64] 0.10s call tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] 0.10s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] 0.10s call tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] 0.09s call tests/mxnet/test_nn.py::test_gmm_conv[g5-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g5-int64] 0.09s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] 0.09s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] 0.09s call tests/mxnet/test_nn.py::test_cheb_conv[20] 0.09s call tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] 0.09s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.09s call tests/mxnet/test_nn.py::test_appnp_conv 0.09s call tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] 0.09s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] 0.09s call tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] 0.09s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] ======================= 806 passed, 2 warnings in 57.95s ======================= 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] } PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] [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 c2df59f255f6f779affc7961119a0a061b8bfef9b231025bebee061efd031ef5 PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 71%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] $ docker rm -f c2df59f255f6f779affc7961119a0a061b8bfef9b231025bebee061efd031ef5 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } 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 [ 72%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 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] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 74%] tests/go/test_pipeline.py::test_graphpred[pna-csv] 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 [ 75%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.6/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 tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 8 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4291@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-4291@2/python/dgl/core.py:79: DGLWarning: The input graph for the user-defined edge function does not contain valid edges dgl_warning('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-4291@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-4291@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-4291@2/python/dgl/heterograph_index.py:777: 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: 213 warnings /opt/conda/envs/tensorflow-ci/lib/python3.6/site-packages/networkx/utils/misc.py:34: DeprecationWarning: is_string_like is deprecated and will be removed in 3.0.Use isinstance(obj, str) instead. warnings.warn(msg, DeprecationWarning) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/data/citation_graph.py:287: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.6/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-4291@2/python/dgl/data/csv_dataset_base.py:298: 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-4291@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-4291@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-4291@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-4291@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-4291@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-4291@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-4291@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-4291@2/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4291@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-4291@2/python/dgl/sampling/negative.py:102: ComplexWarning: Casting complex values to real discards the imaginary part g._graph, etype_id, num_samples, 3, exclude_self_loops, replace, redundancy) tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4291@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-4291@2/python/dgl/data/graph_serialize.py:179: 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-4291@2/python/dgl/transforms/functional.py:1193: 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-4291@2/python/dgl/transforms/functional.py:1196: 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-4291@2/python/dgl/transforms/functional.py:1245: 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-4291@2/pytest_compute.xml - ============================ slowest 100 durations ============================= 211.86s call tests/compute/test_kernel.py::test_all_binary_builtins 75.02s call tests/compute/test_data.py::test_reddit 62.59s call tests/compute/test_data.py::test_fakenews 62.26s call tests/compute/test_data.py::test_gin 35.66s call tests/compute/test_data.py::test_as_graphpred 25.14s call tests/compute/test_data.py::test_explain_syn 14.47s call tests/compute/test_data.py::test_tudataset_regression 14.04s call tests/compute/test_data.py::test_gnn_benchmark 9.25s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 9.09s call tests/compute/test_data.py::test_as_graphpred_reprocess 6.27s call tests/compute/test_transform.py::test_metis_partition[idtype1] 6.23s call tests/compute/test_kernel.py::test_copy_src_reduce 5.63s call tests/compute/test_kernel.py::test_copy_edge_reduce 5.31s call tests/compute/test_data.py::test_citation_graph 5.23s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 5.22s call tests/compute/test_sampling.py::test_sample_neighbors_prob 4.79s call tests/compute/test_graph.py::test_query 4.57s call tests/compute/test_data.py::test_add_nodepred_split 4.55s call tests/compute/test_heterograph.py::test_query[idtype1] 4.39s call tests/compute/test_heterograph.py::test_query[idtype0] 3.87s call tests/compute/test_heterograph.py::test_updates[idtype0] 3.87s call tests/compute/test_data.py::test_fraud 3.43s call tests/compute/test_heterograph.py::test_updates[idtype1] 3.21s call tests/compute/test_data.py::test_wiki_cs 3.18s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 2.88s call tests/compute/test_heterograph.py::test_forking_pickler 2.54s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 2.47s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 2.46s call tests/compute/test_heterograph.py::test_level2[idtype1] 2.40s call tests/compute/test_heterograph.py::test_level2[idtype0] 2.38s call tests/compute/test_data.py::test_csvdataset 2.29s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 2.28s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 2.23s call tests/compute/test_data.py::test_flickr 2.08s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.83s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] 1.81s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 1.77s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] 1.76s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 1.75s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.73s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 1.64s call tests/compute/test_heterograph.py::test_format[idtype1] 1.62s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] 1.62s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] 1.61s call tests/compute/test_heterograph.py::test_format[idtype0] 1.61s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] 1.60s call tests/compute/test_basics.py::test_update_routines[idtype0] 1.55s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.52s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] 1.49s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] 1.48s call tests/compute/test_data.py::test_minigc 1.48s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] 1.48s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] 1.46s call tests/compute/test_basics.py::test_update_routines[idtype1] 1.45s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] 1.40s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] 1.40s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] 1.40s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 1.37s call tests/compute/test_transform.py::test_partition_with_halo 1.36s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] 1.36s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] 1.35s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] 1.32s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] 1.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] 1.31s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] 1.30s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] 1.30s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.29s call tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] 1.29s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] 1.28s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] 1.27s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] 1.26s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] 1.25s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] 1.24s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] 1.24s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 1.24s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 1.24s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 1.23s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] 1.23s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] 1.23s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] 1.22s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] 1.21s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] 1.20s call tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] ========= 2306 passed, 129 skipped, 427 warnings in 1368.48s (0:22:48) ========= ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4291@2 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 [ 76%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 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 [ 77%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 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 [ 79%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 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 [ 80%] tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 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 [ 81%] tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 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 [ 82%] tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 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 [ 83%] tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 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 [ 85%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 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 [ 86%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 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 [ 87%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 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 [ 88%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 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 [ 90%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 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 [ 91%] tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 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 [ 92%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 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 [ 93%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 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 [ 95%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 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 [ 96%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 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 [ 97%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 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 [ 98%] tests/go/test_pipeline.py::test_node_cora 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] 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/python3.6/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.6/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 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-4291@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4291@2/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4291@2/pytest_backend.xml - ============================ slowest 100 durations ============================= 0.86s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.79s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.74s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.68s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.65s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.65s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.62s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.62s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.61s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.60s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.44s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.41s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.40s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.36s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.19s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.19s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.17s 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[1-2-g1-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-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_edge_conv[1-g6-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] ====================== 920 passed, 13 warnings in 58.29s ======================= [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 [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4291/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ tests/go/test_model.py::test_gcn[g0] /opt/conda/envs/pytorch-ci/lib/python3.6/site-packages/dglgo-0.0.2-py3.6.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/python3.6/site-packages/dglgo-0.0.2-py3.6.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/python3.6/site-packages/dglgo-0.0.2-py3.6.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/python3.6/site-packages/dglgo-0.0.2-py3.6.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/python3.6/site-packages/dglgo-0.0.2-py3.6.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-4291/pytest_go.xml ----- ============================ slowest 100 durations ============================= 16.92s call tests/go/test_pipeline.py::test_node_cora 9.57s call tests/go/test_pipeline.py::test_nodepred_data[pubmed] 9.45s call tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] 9.18s call tests/go/test_pipeline.py::test_nodepred_ns_data[csv] 9.18s call tests/go/test_pipeline.py::test_nodepred_ns_data[cora] 9.16s call tests/go/test_pipeline.py::test_nodepred_data[csv] 9.12s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] 8.99s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] 8.97s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] 8.96s call tests/go/test_pipeline.py::test_nodepred_data[citeseer] 8.95s call tests/go/test_pipeline.py::test_nodepred_model[gin] 8.94s call tests/go/test_pipeline.py::test_nodepred_model[sage] 8.92s call tests/go/test_pipeline.py::test_nodepred_data[cora] 8.89s call tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 8.87s call tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] 8.83s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] 8.82s call tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] 8.80s call tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 8.79s call tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] 8.78s call tests/go/test_pipeline.py::test_nodepred_model[sgc] 8.78s call tests/go/test_pipeline.py::test_nodepred_data[reddit] 8.75s call tests/go/test_pipeline.py::test_nodepred_ns_model[gat] 8.71s call tests/go/test_pipeline.py::test_nodepred_model[gat] 8.71s call tests/go/test_pipeline.py::test_nodepred_model[gcn] 8.64s call tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 7.12s call tests/go/test_pipeline.py::test_graphpred[pna-csv] 7.00s call tests/go/test_pipeline.py::test_graphpred[gin-csv] 6.76s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 6.75s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 6.51s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 6.50s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 6.42s call tests/go/test_pipeline.py::test_linkpred_data[reddit] 6.41s call tests/go/test_pipeline.py::test_linkpred_data[cora] 6.40s call tests/go/test_pipeline.py::test_linkpred_data[citeseer] 6.38s call tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] 6.36s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] 6.30s call tests/go/test_pipeline.py::test_linkpred_data[pubmed] 6.27s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] 6.26s call tests/go/test_pipeline.py::test_linkpred_data[csv] 6.17s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] 6.08s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] 5.85s call tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 5.82s call tests/go/test_pipeline.py::test_linkpred_node_model[sage] 5.58s call tests/go/test_pipeline.py::test_linkpred_node_model[gat] 5.02s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 5.02s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] 5.01s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] 4.96s call tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 4.95s call tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 4.87s call tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 4.85s call tests/go/test_pipeline.py::test_linkpred_node_model[gin] 1.99s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 1.97s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 1.97s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 1.97s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 1.96s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 1.95s call tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 1.95s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 1.95s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 1.94s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 1.93s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 1.92s call tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 1.91s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 1.91s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 1.91s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 1.91s call tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 1.91s call tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 1.89s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 0.30s call tests/go/test_model.py::test_pna 0.11s call tests/go/test_model.py::test_ogbg_gin[True] 0.07s call tests/go/test_model.py::test_gcn[g0] 0.06s call tests/go/test_model.py::test_sgc[g0] 0.05s call tests/go/test_model.py::test_gat[g0] 0.03s call tests/go/test_model.py::test_gin[g0] 0.03s call tests/go/test_model.py::test_ogbg_gin[False] 0.02s call tests/go/test_model.py::test_gcn_block[g0] 0.02s call tests/go/test_model.py::test_sage_block[g0] 0.02s call tests/go/test_model.py::test_gat_block[g0] 0.01s call tests/go/test_model.py::test_bilinear 0.01s call tests/go/test_model.py::test_sage[g0] (20 durations < 0.005s hidden. Use -vv to show these durations.) ================== 81 passed, 6 warnings in 424.30s (0:07:04) ================== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 31d5c4d76ee8b11cedcf2e79540ea6f525f4b5c7c0fb7f2b623ac9d068bfdda4 [WS-CLEANUP] done $ docker rm -f 31d5c4d76ee8b11cedcf2e79540ea6f525f4b5c7c0fb7f2b623ac9d068bfdda4 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] } $ docker stop --time=1 fa593cdffcb2823da6e5b04adc80c66fbbdcd4546c1b7588e788e610717cc1d6 $ docker rm -f fa593cdffcb2823da6e5b04adc80c66fbbdcd4546c1b7588e788e610717cc1d6 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Downloading /root/jenkins/workspace/dgl_PR-4291@3/GINDataset.zip from https://raw.githubusercontent.com/weihua916/powerful-gnns/master/dataset.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4291@3/GINDataset Node feature dimensionality: 3 Number of graph categories: 2 [Graph(num_nodes=200, num_edges=954, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), tensor([0, 0, 0, 0, 0])] Number of nodes for each graph element in the batch: tensor([25, 20, 22, 47, 86]) Number of edges for each graph element in the batch: tensor([111, 92, 96, 229, 426]) The original graphs in the minibatch: [Graph(num_nodes=25, num_edges=111, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=20, num_edges=92, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=22, num_edges=96, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=47, num_edges=229, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=86, num_edges=426, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={})] Test accuracy: 0.21973094170403587 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: 1.953, val acc: 0.058 (best 0.058), test acc: 0.064 (best 0.064) In epoch 5, loss: 1.885, val acc: 0.076 (best 0.076), test acc: 0.078 (best 0.078) In epoch 10, loss: 1.748, val acc: 0.574 (best 0.574), test acc: 0.586 (best 0.586) In epoch 15, loss: 1.540, val acc: 0.578 (best 0.580), test acc: 0.598 (best 0.584) In epoch 20, loss: 1.270, val acc: 0.600 (best 0.600), test acc: 0.611 (best 0.611) In epoch 25, loss: 0.968, val acc: 0.626 (best 0.626), test acc: 0.639 (best 0.639) In epoch 30, loss: 0.674, val acc: 0.660 (best 0.660), test acc: 0.664 (best 0.664) In epoch 35, loss: 0.429, val acc: 0.690 (best 0.690), test acc: 0.695 (best 0.695) In epoch 40, loss: 0.254, val acc: 0.712 (best 0.712), test acc: 0.727 (best 0.727) In epoch 45, loss: 0.146, val acc: 0.736 (best 0.736), test acc: 0.733 (best 0.733) In epoch 50, loss: 0.087, val acc: 0.744 (best 0.744), test acc: 0.739 (best 0.739) In epoch 55, loss: 0.054, val acc: 0.738 (best 0.744), test acc: 0.737 (best 0.739) In epoch 60, loss: 0.037, val acc: 0.742 (best 0.744), test acc: 0.740 (best 0.739) In epoch 65, loss: 0.026, val acc: 0.740 (best 0.744), test acc: 0.742 (best 0.739) In epoch 70, loss: 0.020, val acc: 0.742 (best 0.744), test acc: 0.743 (best 0.739) In epoch 75, loss: 0.016, val acc: 0.740 (best 0.744), test acc: 0.742 (best 0.739) In epoch 80, loss: 0.014, val acc: 0.740 (best 0.744), test acc: 0.742 (best 0.739) In epoch 85, loss: 0.012, val acc: 0.738 (best 0.744), test acc: 0.743 (best 0.739) In epoch 90, loss: 0.011, val acc: 0.740 (best 0.744), test acc: 0.743 (best 0.739) In epoch 95, loss: 0.009, val acc: 0.742 (best 0.744), test acc: 0.742 (best 0.739) In epoch 100, loss: 0.009, val acc: 0.742 (best 0.744), test acc: 0.744 (best 0.739) In epoch 105, loss: 0.008, val acc: 0.742 (best 0.744), test acc: 0.745 (best 0.739) In epoch 110, loss: 0.007, val acc: 0.740 (best 0.744), test acc: 0.746 (best 0.739) In epoch 115, loss: 0.007, val acc: 0.738 (best 0.744), test acc: 0.744 (best 0.739) In epoch 120, loss: 0.006, val acc: 0.738 (best 0.744), test acc: 0.745 (best 0.739) In epoch 125, loss: 0.006, val acc: 0.738 (best 0.744), test acc: 0.747 (best 0.739) In epoch 130, loss: 0.006, val acc: 0.738 (best 0.744), test acc: 0.748 (best 0.739) In epoch 135, loss: 0.005, val acc: 0.738 (best 0.744), test acc: 0.748 (best 0.739) In epoch 140, loss: 0.005, val acc: 0.738 (best 0.744), test acc: 0.748 (best 0.739) In epoch 145, loss: 0.005, val acc: 0.738 (best 0.744), test acc: 0.747 (best 0.739) In epoch 150, loss: 0.004, val acc: 0.738 (best 0.744), test acc: 0.747 (best 0.739) In epoch 155, loss: 0.004, val acc: 0.738 (best 0.744), test acc: 0.747 (best 0.739) In epoch 160, loss: 0.004, val acc: 0.738 (best 0.744), test acc: 0.747 (best 0.739) In epoch 165, loss: 0.004, val acc: 0.738 (best 0.744), test acc: 0.745 (best 0.739) In epoch 170, loss: 0.004, val acc: 0.738 (best 0.744), test acc: 0.745 (best 0.739) In epoch 175, loss: 0.003, val acc: 0.738 (best 0.744), test acc: 0.745 (best 0.739) In epoch 180, loss: 0.003, val acc: 0.738 (best 0.744), test acc: 0.745 (best 0.739) In epoch 185, loss: 0.003, val acc: 0.738 (best 0.744), test acc: 0.744 (best 0.739) In epoch 190, loss: 0.003, val acc: 0.738 (best 0.744), test acc: 0.744 (best 0.739) In epoch 195, loss: 0.003, val acc: 0.738 (best 0.744), test acc: 0.744 (best 0.739) In epoch 0, loss: 1.949, val acc: 0.316 (best 0.316), test acc: 0.319 (best 0.319) In epoch 5, loss: 1.881, val acc: 0.524 (best 0.524), test acc: 0.533 (best 0.533) In epoch 10, loss: 1.743, val acc: 0.556 (best 0.732), test acc: 0.555 (best 0.743) In epoch 15, loss: 1.530, val acc: 0.606 (best 0.732), test acc: 0.588 (best 0.743) In epoch 20, loss: 1.247, val acc: 0.662 (best 0.732), test acc: 0.650 (best 0.743) In epoch 25, loss: 0.925, val acc: 0.712 (best 0.732), test acc: 0.703 (best 0.743) In epoch 30, loss: 0.616, val acc: 0.742 (best 0.742), test acc: 0.733 (best 0.733) In epoch 35, loss: 0.372, val acc: 0.744 (best 0.744), test acc: 0.755 (best 0.739) In epoch 40, loss: 0.213, val acc: 0.740 (best 0.744), test acc: 0.761 (best 0.739) In epoch 45, loss: 0.121, val acc: 0.734 (best 0.744), test acc: 0.767 (best 0.739) In epoch 50, loss: 0.072, val acc: 0.740 (best 0.744), test acc: 0.767 (best 0.739) In epoch 55, loss: 0.045, val acc: 0.742 (best 0.744), test acc: 0.769 (best 0.739) In epoch 60, loss: 0.031, val acc: 0.746 (best 0.746), test acc: 0.768 (best 0.769) In epoch 65, loss: 0.023, val acc: 0.748 (best 0.748), test acc: 0.770 (best 0.770) In epoch 70, loss: 0.018, val acc: 0.746 (best 0.748), test acc: 0.767 (best 0.770) In epoch 75, loss: 0.015, val acc: 0.746 (best 0.748), test acc: 0.766 (best 0.770) In epoch 80, loss: 0.012, val acc: 0.746 (best 0.748), test acc: 0.764 (best 0.770) In epoch 85, loss: 0.011, val acc: 0.746 (best 0.748), test acc: 0.765 (best 0.770) In epoch 90, loss: 0.010, val acc: 0.746 (best 0.748), test acc: 0.765 (best 0.770) In epoch 95, loss: 0.009, val acc: 0.746 (best 0.748), test acc: 0.764 (best 0.770) In epoch 100, loss: 0.008, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 105, loss: 0.007, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 110, loss: 0.007, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 115, loss: 0.006, val acc: 0.744 (best 0.748), test acc: 0.763 (best 0.770) In epoch 120, loss: 0.006, val acc: 0.744 (best 0.748), test acc: 0.763 (best 0.770) In epoch 125, loss: 0.006, val acc: 0.742 (best 0.748), test acc: 0.763 (best 0.770) In epoch 130, loss: 0.005, val acc: 0.742 (best 0.748), test acc: 0.764 (best 0.770) In epoch 135, loss: 0.005, val acc: 0.742 (best 0.748), test acc: 0.764 (best 0.770) In epoch 140, loss: 0.005, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 145, loss: 0.004, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 150, loss: 0.004, val acc: 0.744 (best 0.748), test acc: 0.764 (best 0.770) In epoch 155, loss: 0.004, val acc: 0.744 (best 0.748), test acc: 0.765 (best 0.770) In epoch 160, loss: 0.004, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 165, loss: 0.004, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 170, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 175, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 180, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 185, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 190, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) In epoch 195, loss: 0.003, val acc: 0.742 (best 0.748), test acc: 0.765 (best 0.770) 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: 0.6929544806480408 In epoch 5, loss: 0.657095730304718 In epoch 10, loss: 0.5642776489257812 In epoch 15, loss: 0.5224827527999878 In epoch 20, loss: 0.49454057216644287 In epoch 25, loss: 0.46499988436698914 In epoch 30, loss: 0.4389723837375641 In epoch 35, loss: 0.4167259931564331 In epoch 40, loss: 0.3946610689163208 In epoch 45, loss: 0.37420034408569336 In epoch 50, loss: 0.35310229659080505 In epoch 55, loss: 0.33178290724754333 In epoch 60, loss: 0.3107457458972931 In epoch 65, loss: 0.28949296474456787 In epoch 70, loss: 0.2679629921913147 In epoch 75, loss: 0.24625910818576813 In epoch 80, loss: 0.22497950494289398 In epoch 85, loss: 0.20434336364269257 In epoch 90, loss: 0.1838405579328537 In epoch 95, loss: 0.16378533840179443 AUC 0.8611190224837716 Running tutorial ./blitz/1_introduction.py ... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Number of categories: 7 Node features {'feat': tensor([[0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], ..., [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.]]), 'label': tensor([3, 4, 4, ..., 3, 3, 3]), 'test_mask': tensor([False, False, False, ..., True, True, True]), 'train_mask': tensor([ True, True, True, ..., False, False, False]), 'val_mask': tensor([False, False, False, ..., False, False, False])} Edge features {} In epoch 0, loss: 1.947, val acc: 0.060 (best 0.060), test acc: 0.087 (best 0.087) In epoch 5, loss: 1.910, val acc: 0.370 (best 0.472), test acc: 0.385 (best 0.495) In epoch 10, loss: 1.847, val acc: 0.384 (best 0.472), test acc: 0.434 (best 0.495) In epoch 15, loss: 1.757, val acc: 0.610 (best 0.610), test acc: 0.600 (best 0.600) In epoch 20, loss: 1.643, val acc: 0.658 (best 0.658), test acc: 0.685 (best 0.685) In epoch 25, loss: 1.503, val acc: 0.692 (best 0.692), test acc: 0.710 (best 0.710) In epoch 30, loss: 1.342, val acc: 0.712 (best 0.712), test acc: 0.719 (best 0.719) In epoch 35, loss: 1.166, val acc: 0.718 (best 0.718), test acc: 0.734 (best 0.734) In epoch 40, loss: 0.987, val acc: 0.728 (best 0.728), test acc: 0.759 (best 0.755) In epoch 45, loss: 0.816, val acc: 0.740 (best 0.742), test acc: 0.768 (best 0.767) In epoch 50, loss: 0.661, val acc: 0.748 (best 0.748), test acc: 0.765 (best 0.766) In epoch 55, loss: 0.528, val acc: 0.752 (best 0.752), test acc: 0.774 (best 0.774) In epoch 60, loss: 0.420, val acc: 0.762 (best 0.762), test acc: 0.776 (best 0.776) In epoch 65, loss: 0.335, val acc: 0.770 (best 0.770), test acc: 0.779 (best 0.779) In epoch 70, loss: 0.268, val acc: 0.774 (best 0.776), test acc: 0.782 (best 0.781) In epoch 75, loss: 0.217, val acc: 0.774 (best 0.776), test acc: 0.781 (best 0.781) In epoch 80, loss: 0.177, val acc: 0.770 (best 0.776), test acc: 0.782 (best 0.781) In epoch 85, loss: 0.147, val acc: 0.770 (best 0.776), test acc: 0.779 (best 0.781) In epoch 90, loss: 0.123, val acc: 0.774 (best 0.776), test acc: 0.777 (best 0.781) In epoch 95, loss: 0.104, val acc: 0.774 (best 0.776), test acc: 0.777 (best 0.781) Running tutorial ./blitz/6_load_data.py ... ./blitz/6_load_data.py:98: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.) node_labels = torch.from_numpy(nodes_data['Club'].astype('category').cat.codes.to_numpy()) Graph(num_nodes=34, num_edges=156, ndata_schemes={'feat': Scheme(shape=(), dtype=torch.int64), 'label': Scheme(shape=(), dtype=torch.int8), 'train_mask': Scheme(shape=(), dtype=torch.bool), 'val_mask': Scheme(shape=(), dtype=torch.bool), 'test_mask': Scheme(shape=(), dtype=torch.bool)} edata_schemes={'weight': Scheme(shape=(), dtype=torch.float64)}) Graph(num_nodes=15, num_edges=45, ndata_schemes={} edata_schemes={}) tensor(0) Running tutorial ./blitz/2_dglgraph.py ... (tensor([0, 0, 0, 0, 0]), tensor([1, 2, 3, 4, 5])) tensor([[-1.5011, 0.5555, -2.1043, 0.2463], [ 0.3687, -0.1906, 0.2257, 0.8219], [-1.9514, -0.0071, -0.5654, 0.2017], [ 0.2155, 1.6215, 0.3500, -0.3136], [ 0.4958, 1.2432, -0.7290, -1.4765]]) 6 5 5 0 tensor([0, 1, 3]) tensor([0, 2]) tensor([0, 1, 2, 4]) tensor([0, 1, 3]) tensor([[ 0.3871, 0.0515, -0.3317], [ 0.4202, -1.3231, -0.1271], [-1.0094, -0.1604, -0.5154]]) tensor([[-1.5011, 0.5555, -2.1043, 0.2463], [-1.9514, -0.0071, -0.5654, 0.2017]]) tensor([[ 0.3871, 0.0515, -0.3317], [ 0.4202, -1.3231, -0.1271], [-1.4998, 0.0872, 0.4240], [ 0.3820, 0.5431, -1.3390]]) tensor([[-1.5011, 0.5555, -2.1043, 0.2463], [ 0.3687, -0.1906, 0.2257, 0.8219], [ 0.2155, 1.6215, 0.3500, -0.3136]]) 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 ... 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([167166, 90900, 54920, ..., 16776, 79876, 92281]), tensor([167166, 90900, 54920, ..., 35827, 132475, 13116]), [Block(num_src_nodes=12784, num_dst_nodes=4066, num_edges=14674), Block(num_src_nodes=4066, num_dst_nodes=1024, num_edges=3268)]] To compute 1024 nodes' outputs, we need 12784 nodes' input features tensor([167166, 90900, 54920, ..., 16776, 79876, 92281]) tensor([167166, 90900, 54920, ..., 36117, 61151, 138982]) True 0%| | 0/89 [00:00